WEBVTT - From the Vault: Punish the Machine, Part 2

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<v Speaker 1>Hey, welcome to Stuff to Blow Your Mind. My name

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<v Speaker 1>is Robert Lamb and I'm Joe McCormick, and it's Saturday.

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<v Speaker 1>Time for an episode from the Vault. This is the

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<v Speaker 1>episode Punish the Machine, Part two. It's all about about

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<v Speaker 1>machine moral agency, legal agency and culpability, or what we

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<v Speaker 1>make of this emergent world when when machines are acting

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<v Speaker 1>in an increasingly autonomous way. Let us delay no further.

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<v Speaker 1>Welcome to Stuff to Blow Your Mind production of My

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<v Speaker 1>Heart Radio. Hey, welcome to Stuff to Blow Your Mind.

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<v Speaker 1>My name is Robert Lamb and I'm Joe McCormick, and

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<v Speaker 1>we're back for part two of our talk about Punishing

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<v Speaker 1>the Robot. We are we are back here to uh

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<v Speaker 1>to tell the robot he's been very bad now. In

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<v Speaker 1>the last episode, we talked about the idea of legal

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<v Speaker 1>agency and culpability for robots and other intelligent machines, and

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<v Speaker 1>for a quick refresher on on some of the stuff

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<v Speaker 1>we went over. We talked about the idea that as

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<v Speaker 1>robots and AI become more sophisticated and thus in some

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<v Speaker 1>ways or in some cases more independent and unpredictable, and

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<v Speaker 1>as they integrate more and more into the wild of

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<v Speaker 1>human society, there are just inevitably going to be situations

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<v Speaker 1>where AI and robots do wrong and cause harm to people. Now,

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<v Speaker 1>of course, when a human does wrong and causes harm

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<v Speaker 1>to another human, we have a legal system through which

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<v Speaker 1>the victim can seek various kinds of remedies. And we

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<v Speaker 1>talked in the last episode about the idea of remedies

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<v Speaker 1>that the simple version of that is the remedy is

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<v Speaker 1>what do I get when I win in court? So

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<v Speaker 1>that can be things like monetary rewards. You know, I

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<v Speaker 1>ran into your car with my car, so I pay

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<v Speaker 1>you money, Or it can be punishment, or it can

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<v Speaker 1>be court orders like commanding or restricting the behavior of

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<v Speaker 1>the perpetrator. And so we discussed the idea that as

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<v Speaker 1>roots become more unpredictable and more like human agents, more

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<v Speaker 1>sort of independent, and more integrated into society, it might

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<v Speaker 1>make sense to have some kind of system of legal

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<v Speaker 1>remedies for when robots cause harm or commit crimes. But also,

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<v Speaker 1>as we talked about last time, this is much easier

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<v Speaker 1>said than done. It's going to present tons of new

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<v Speaker 1>problems because our legal system is in many ways not

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<v Speaker 1>equipped to deal with with defendants and situations of this kind,

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<v Speaker 1>and this may cause us to ask questions about how

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<v Speaker 1>we already think about culpability and blame and and punishment

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<v Speaker 1>in the legal system. And so in the last episode

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<v Speaker 1>we talked about one big legal paper that we're going

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<v Speaker 1>to continue to explore in this one. It's by Mark A.

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<v Speaker 1>Limley and Brian Casey in the University of Chicago Law

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<v Speaker 1>Review from twenty nineteen, called Remedies for Robots. So I'll

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<v Speaker 1>be referring back to that one a good bit throughout

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<v Speaker 1>this episode two. Now, I think when we left off

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<v Speaker 1>last time, we had mainly been talking about sort of

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<v Speaker 1>trying to categorize the different sorts of harm that could

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<v Speaker 1>be done by robots or AI intelligent machines. And so

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<v Speaker 1>we talked about some things like unavoidable harms and deliberate

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<v Speaker 1>at least cost harms. These are sort of going to

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<v Speaker 1>be unavoidable parts of having something like autonomous vehicles, right,

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<v Speaker 1>if you have cars driving around on the road, Like,

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<v Speaker 1>even if they're really really good at minimizing harm, there's

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<v Speaker 1>still going to be some cases where there's just no

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<v Speaker 1>way harm could be avoided because their cars. Another would

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<v Speaker 1>be defect driven harms. That's pretty straightforward. That's just where

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<v Speaker 1>the machine malfunctions or breaks in some way. Another would

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<v Speaker 1>be misuse harms. That's where the machine is used in

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<v Speaker 1>a way that is harmful, and in those cases it

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<v Speaker 1>can be usually pretty clear who's at fault. It's the

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<v Speaker 1>person who misused the machine. But then there are a

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<v Speaker 1>couple of other categories that where things get really tricky,

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<v Speaker 1>which are unforeseen harms and systemic harms. And in the

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<v Speaker 1>case of unforeseen harms, one example we talked about in

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<v Speaker 1>the last episode was the drone that invented a wormhole. So,

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<v Speaker 1>you know, people were trying to train a drone to

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<v Speaker 1>move towards like an autonomous flying vehicle, to move towards

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<v Speaker 1>the center of a circular area. But the drone started

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<v Speaker 1>doing a thing where when it got sufficiently far away

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<v Speaker 1>from the center of the circle, it would just fly

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<v Speaker 1>out of the circle altogether. And so it seems kind

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<v Speaker 1>of weird at first, like, Okay, why would it be

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<v Speaker 1>doing that, But then what the researchers realized was that

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<v Speaker 1>whenever it did that, they would turn it off, and

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<v Speaker 1>then they would move it back into the circle to

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<v Speaker 1>start it over again. So from the machine learning point

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<v Speaker 1>of view of the drone itself. It had discovered like

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<v Speaker 1>a like a time space warp that you know. So

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<v Speaker 1>so it was doing this thing that made no sense

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<v Speaker 1>from a human perspective, but actually was it was following

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<v Speaker 1>its programming exactly. Now for an example, uh, sort of

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<v Speaker 1>a thought experiment of how this could become lethal. There's

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<v Speaker 1>an example that is stuck in my head. I can't

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<v Speaker 1>recall where I heard this, who presented this idea? And

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<v Speaker 1>I kind of had it in my head that it

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<v Speaker 1>came from Max tag Mark. But I did some searching

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<v Speaker 1>around in my notes and some searching around and uh,

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<v Speaker 1>one of his books, and I couldn't find it. Perhaps

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<v Speaker 1>you can help refresh me. You remember maybe you remember

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<v Speaker 1>this joke, but the idea of the the AI that

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<v Speaker 1>is running deciding how much oxygen needs to be in

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<v Speaker 1>a train station, it didn't given time. Oh this sounds familiar.

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<v Speaker 1>I don't know the answer, but a lot of these

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<v Speaker 1>thought experiments tend to trace back to Nick Bostrom, so

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<v Speaker 1>I wouldn't be surprised if in there. But but go ahead,

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<v Speaker 1>right okay, as I remember it. The way it works

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<v Speaker 1>is you have you have this AI that's in charge

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<v Speaker 1>of of making sure there's enough oxygen in the train

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<v Speaker 1>station for when humans are there, and it seems to

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<v Speaker 1>have learned this fine, and when humans are there to

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<v Speaker 1>get on the train, everything goes goes well, everybody's breathing fine.

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<v Speaker 1>And then one in one day, Uh, the train arrives

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<v Speaker 1>a little late or it leaves a little right late,

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<v Speaker 1>if you get which whatever it is, and there's not

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<v Speaker 1>enough oxygen and people die. And then it turns out

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<v Speaker 1>that the train was not based saying its decision on

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<v Speaker 1>when people were there, but it was basing it on

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<v Speaker 1>a clock in the train station, like what it was. Um.

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<v Speaker 1>And I may be mangling this horribly, but you know,

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<v Speaker 1>another way of illustrating the point that machine learning could

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<v Speaker 1>end up, you know, latching onto shortcuts or heuristic devices

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<v Speaker 1>that would just seem completely insane to a quote unquote

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<v Speaker 1>logical human mind, but might make sense within the framework

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<v Speaker 1>of the AI. Right, they worked in the training cases,

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<v Speaker 1>and it doesn't understand because it doesn't have common sense,

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<v Speaker 1>it doesn't understand why they wouldn't work. In another case,

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<v Speaker 1>there was actually a real world case that we talked

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<v Speaker 1>about in Part one where there was an attempt to

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<v Speaker 1>do some machine learning on what risk factors would would

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<v Speaker 1>make a pneumonia case admitted to the hospital have a

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<v Speaker 1>higher or lower chance of survival. And one thing that

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<v Speaker 1>a machine learning algorithm determined was that asthma meant that

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<v Speaker 1>you were you better off when you got pneumonia if

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<v Speaker 1>you had asthma. But actually the reason for that that

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<v Speaker 1>that isn't true. Actually the reason for that is that

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<v Speaker 1>if you have asthma, you're a higher risk case for pneumonia,

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<v Speaker 1>so you've got more intensive treatment in the hospital and

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<v Speaker 1>thus had better outcomes on the data set that the

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<v Speaker 1>algorithm was trained on. But the algorithm came up with

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<v Speaker 1>this completely backwards uh failure to understand the difference between

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<v Speaker 1>correlation and causation. There it made it look like asthma

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<v Speaker 1>was a superpower. Now, of course, if you you take

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<v Speaker 1>that kind of shortsighted algorithm and you make it god,

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<v Speaker 1>then it will say, oh, I've just got to give

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<v Speaker 1>everybody asthma, so so we will have a better chance

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<v Speaker 1>of surviving. The point is it can be hard to

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<v Speaker 1>imagine in advance all the cases like this that would

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<v Speaker 1>arise when you've got a world full of robots and

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<v Speaker 1>and AI is running around in it that are trained

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<v Speaker 1>on machine learning. Basically, they're just a number of less

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<v Speaker 1>sort of soft sky nets that you couldn't possibly predict,

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<v Speaker 1>you know, like the sky net scenario being sort of

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<v Speaker 1>like a robots decide that one to end all war

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<v Speaker 1>and um, you know, humans causal war, therefore end all humans,

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<v Speaker 1>that sort of thing. But there's so many different like

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<v Speaker 1>lesser versions of it. It It could also be destructive or

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<v Speaker 1>annoying or just get in the way of effectively using

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<v Speaker 1>AI for whatever we turn to it for. Uh yeah, yeah.

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<v Speaker 1>To come to an example that is definitely used by

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<v Speaker 1>Nick Bostrom, the paper clip maximizer. You know, a robot

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<v Speaker 1>that is designed to make as many paper clips as

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<v Speaker 1>it can, and it just it looks at your body

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<v Speaker 1>and says, hey, that's full of matter. Those could be

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<v Speaker 1>paper clips. Yeah that yeah, yeah, that would be that

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<v Speaker 1>would be quite an apocalypse. Now, before we get back

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<v Speaker 1>into the main subject and talking about this limly in

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<v Speaker 1>case paper with with robots as offenders, there was one

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<v Speaker 1>thing that was interesting I came across. It was just

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<v Speaker 1>a brief footnote in their paper, but about the question

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<v Speaker 1>of what about if the robot is the plaintiff in

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<v Speaker 1>a case? Uh, They said, it's it is possible to

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<v Speaker 1>imagine a robot as a plaintiff in a court case,

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<v Speaker 1>because of course robots, you know, can be injured by humans.

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<v Speaker 1>And they cite a bunch of examples of news stories

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<v Speaker 1>of humans just intentionally like torturing and being cruel two

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<v Speaker 1>robots like that. They cite one news article from eighteen

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<v Speaker 1>about people just aggressively kicking food delivery robots, and then

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<v Speaker 1>they share another story. I actually remember this one from

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<v Speaker 1>the news from about a Silicon Valley security robot that

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<v Speaker 1>was just violently attacked by a drunk man in a

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<v Speaker 1>parking garage. I don't remember this one, but I can

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<v Speaker 1>imagine how it went down. Yeah, exactly. So they say

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<v Speaker 1>that in a case like this, this is actually pretty

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<v Speaker 1>straightforward as a property crime. I mean, unless we start

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<v Speaker 1>getting into a scenario where we're really seeing robots as

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<v Speaker 1>like human beings with their own like consciousness and interests

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<v Speaker 1>and all that, the attacks against robots are really probably

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<v Speaker 1>just property crimes against the owner of the robot. It's like,

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<v Speaker 1>you know, attacking somebody computer or their car or something potentially.

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<v Speaker 1>But we'll get into some stuff a little later that

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<v Speaker 1>I think shows some other directions that could go in

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<v Speaker 1>as well, you know, um, you know, especially consider the

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<v Speaker 1>awesome possibility of robots owning themselves. Yeah, and and that's

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<v Speaker 1>obviously a very different world. I mean, where you get

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<v Speaker 1>into the idea like does a robot actually have rights? Um,

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<v Speaker 1>which is not. That's sort of beyond the horizon of

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<v Speaker 1>what's explored in in this paper itself. This paper is

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<v Speaker 1>more focused on like the kinds of robots that you

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<v Speaker 1>can practically imagine within the next few decades. And and

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<v Speaker 1>in those cases, it seems like all of the really

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<v Speaker 1>thorny stuff would probably be in robots as offenders rather

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<v Speaker 1>than robots as victims of crimes. Right. But to your point,

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<v Speaker 1>like the the initial crimes against robot that we can

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<v Speaker 1>robots that we can imagine would be stuff like drunk

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<v Speaker 1>people pushing them over things like that, Yeah, or just

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<v Speaker 1>like a human driver and a human powered vehicle hitting

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<v Speaker 1>an autonomous vehicle, you know, right. Aw As I mentioned

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<v Speaker 1>in the last episode, this is a very big paper

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<v Speaker 1>and we're not gonna have time to get into every

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<v Speaker 1>avenue they go down in it. But I just wanted

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<v Speaker 1>to go through, uh and and mention some ideas that

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<v Speaker 1>stuck out to me is interesting that they discuss. And

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<v Speaker 1>one thing that really fascinated me about this was that

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<v Speaker 1>the idea of robots as possible agents in in a

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<v Speaker 1>legal context uh brings to the for a philosophical argument

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<v Speaker 1>that has existed in the realm of substantive law for

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<v Speaker 1>a while. UH. And I'll try not to be too

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<v Speaker 1>dry about this, but I think it actually does get

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<v Speaker 1>to some really interesting philosophical territory. UH. And this is

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<v Speaker 1>the distinction between what Limly and Casey call the normative

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<v Speaker 1>versus economic interpretations of substantive law. Again complicated philosophical and

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<v Speaker 1>legal distinction. I'll try to do my best to sum

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<v Speaker 1>it up simply. So. The normative perspective on substantive law

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<v Speaker 1>says that the law is a prohibition against doing something bad.

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<v Speaker 1>So in so thing is against the law. That means

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<v Speaker 1>you shouldn't do it, And we would stop the offender

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<v Speaker 1>from doing the thing that's against the law if we could.

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<v Speaker 1>But since we usually can't stop them from doing it,

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<v Speaker 1>often because it already happened, the remedy that exists. You

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<v Speaker 1>know that maybe paying damages to the victim or something

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<v Speaker 1>like that is a is a an attempt to right

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<v Speaker 1>the wrong in other words, to do the next best

0:12:25.640 --> 0:12:29.079
<v Speaker 1>thing to undoing the harm in the first place. So

0:12:29.440 --> 0:12:32.880
<v Speaker 1>basically getting into the idea of negative reinforcement. Somebody or

0:12:32.920 --> 0:12:35.800
<v Speaker 1>something did something bad, we can't we couldn't stop them

0:12:35.800 --> 0:12:39.640
<v Speaker 1>from doing something bad, but we can try and and

0:12:39.760 --> 0:12:43.400
<v Speaker 1>give them stimulus that would make them not do it again.

0:12:43.679 --> 0:12:46.959
<v Speaker 1>Be that economic or otherwise. Well, yes, but I think

0:12:46.960 --> 0:12:49.520
<v Speaker 1>what you're saying, uh, could actually apply to both of

0:12:49.559 --> 0:12:51.959
<v Speaker 1>these conditions I'm going to talk about. So I think

0:12:52.000 --> 0:12:56.079
<v Speaker 1>maybe the distinction comes in about whether that whether there

0:12:56.200 --> 0:12:59.000
<v Speaker 1>is such a thing as an inherent prohibition. So the

0:12:59.000 --> 0:13:03.199
<v Speaker 1>thing that's operative in the normative view is that the

0:13:03.200 --> 0:13:05.520
<v Speaker 1>thing that's against the law is a thing that should

0:13:05.559 --> 0:13:10.000
<v Speaker 1>not be done, and thus the remedy is an attempt

0:13:10.080 --> 0:13:12.200
<v Speaker 1>to try to fix the fact that it was done

0:13:12.200 --> 0:13:15.680
<v Speaker 1>in the first place. The the economic view is the

0:13:15.760 --> 0:13:18.160
<v Speaker 1>alternative here, and the way they sum that up is

0:13:18.800 --> 0:13:22.800
<v Speaker 1>there is no such thing as forbidden conduct. Rather, a

0:13:22.880 --> 0:13:27.679
<v Speaker 1>substantive law tells you what the cost of the conduct is.

0:13:28.000 --> 0:13:31.080
<v Speaker 1>Does that distinction make any more sense? Yes? Yes, So

0:13:31.120 --> 0:13:36.040
<v Speaker 1>it's basically the first version is doing crimes is bad. Um,

0:13:36.200 --> 0:13:39.199
<v Speaker 1>the second one is doing crimes is expensive. So it's

0:13:39.320 --> 0:13:42.360
<v Speaker 1>the first is crime should not be done, and the

0:13:42.400 --> 0:13:44.840
<v Speaker 1>second one is crimes can be done if you can

0:13:44.880 --> 0:13:48.760
<v Speaker 1>afford it. Yes, exactly so. In Limley and Casey's words, quote,

0:13:49.000 --> 0:13:52.240
<v Speaker 1>damages on this view, the economic view are simply a

0:13:52.320 --> 0:13:56.400
<v Speaker 1>cost of doing business. One we want defendants to internalize,

0:13:56.640 --> 0:14:01.040
<v Speaker 1>but not necessarily to avoid the conduct altogether. And now

0:14:01.120 --> 0:14:03.400
<v Speaker 1>you might look at this and think, oh, okay, well,

0:14:03.440 --> 0:14:06.600
<v Speaker 1>so the economic view is just like a psychopathic way

0:14:06.640 --> 0:14:09.199
<v Speaker 1>of looking at things. And in a certain sense you

0:14:09.200 --> 0:14:11.320
<v Speaker 1>could look at that as like, if you're calculating what's

0:14:11.320 --> 0:14:15.320
<v Speaker 1>the economic cost of murder, then yeah, okay, that does

0:14:15.440 --> 0:14:18.960
<v Speaker 1>just like that's evil, that's like psychopathic. But they're actually

0:14:18.960 --> 0:14:21.840
<v Speaker 1>all kinds of cases we're thinking about. The economic view

0:14:21.920 --> 0:14:25.320
<v Speaker 1>makes more sense of the way we actually behave And

0:14:25.360 --> 0:14:28.000
<v Speaker 1>they use the example of stopping at a traffic light.

0:14:29.240 --> 0:14:31.920
<v Speaker 1>So to read from Limely and Casey here quote Under

0:14:31.960 --> 0:14:35.440
<v Speaker 1>the normative view, a red light stands as a prohibition

0:14:35.560 --> 0:14:38.680
<v Speaker 1>against traveling through an intersection, with the remedy being a

0:14:38.680 --> 0:14:41.360
<v Speaker 1>ticket or a fine against those who are caught breaking

0:14:41.400 --> 0:14:44.960
<v Speaker 1>the prohibition. We would stop you from running the red

0:14:45.040 --> 0:14:48.320
<v Speaker 1>light if we could, But because policing every intersection in

0:14:48.360 --> 0:14:51.680
<v Speaker 1>the country would be impossible. We instead punish those we

0:14:51.760 --> 0:14:55.120
<v Speaker 1>do catch in hopes of deterring others. So in this

0:14:55.200 --> 0:14:58.160
<v Speaker 1>first case, you running a red light is bad, you

0:14:58.200 --> 0:15:00.880
<v Speaker 1>should not do it, and the cost of doing it,

0:15:00.880 --> 0:15:03.080
<v Speaker 1>you know, the punishment you face for doing it is

0:15:03.120 --> 0:15:06.360
<v Speaker 1>an attempt to right that wrong. But then they say,

0:15:06.480 --> 0:15:10.120
<v Speaker 1>under the economic view, however, and absolute prohibition against running

0:15:10.120 --> 0:15:13.000
<v Speaker 1>red lights was never the intention. Rather, the red light

0:15:13.120 --> 0:15:16.600
<v Speaker 1>merely signals a consequence for those who do, in fact

0:15:16.960 --> 0:15:20.560
<v Speaker 1>choose to travel through the intersection. As in the first instance,

0:15:20.600 --> 0:15:23.280
<v Speaker 1>the remedy available is a fine or a ticket. But

0:15:23.400 --> 0:15:25.400
<v Speaker 1>under this view, the choice of whether or not to

0:15:25.480 --> 0:15:28.320
<v Speaker 1>violate the law depends on the willingness of the lawbreaker

0:15:28.600 --> 0:15:32.120
<v Speaker 1>to accept the penalty. So in the case of a

0:15:32.160 --> 0:15:34.880
<v Speaker 1>red light, well that that might make more sense if

0:15:34.920 --> 0:15:37.280
<v Speaker 1>you're like sitting at a red light and you look

0:15:37.320 --> 0:15:40.160
<v Speaker 1>around and there are no other cars anywhere near you,

0:15:40.480 --> 0:15:42.800
<v Speaker 1>and you've you've got a clear view of the entire

0:15:42.840 --> 0:15:45.840
<v Speaker 1>intersection and the red lights not changing, and you think

0:15:45.880 --> 0:15:48.680
<v Speaker 1>maybe it's broken, and you're just like, okay, I'm I'm

0:15:48.680 --> 0:15:50.840
<v Speaker 1>just going to drive through. Well, if if you reach

0:15:50.920 --> 0:15:53.240
<v Speaker 1>that point where you're like, I think it's broken. That

0:15:53.320 --> 0:15:55.560
<v Speaker 1>I feel like that's a slightly different case. But if

0:15:55.560 --> 0:15:59.479
<v Speaker 1>you're just like nobody's watching, I'm gonna do it, um

0:15:59.560 --> 0:16:02.280
<v Speaker 1>and and and the light isn't taking an absurd amount

0:16:02.320 --> 0:16:05.360
<v Speaker 1>of time or longer than you're you're accustomed to. Yeah,

0:16:05.400 --> 0:16:08.240
<v Speaker 1>I don't know how the the belief that the light

0:16:08.360 --> 0:16:10.720
<v Speaker 1>is broken would factor into that, but yeah, it is.

0:16:11.000 --> 0:16:13.360
<v Speaker 1>I Mean, one thing that I think is clear that

0:16:13.400 --> 0:16:17.640
<v Speaker 1>in it's that in many cases there are people, especially

0:16:17.680 --> 0:16:22.360
<v Speaker 1>I think companies and corporations that operate on the economic view,

0:16:22.400 --> 0:16:25.480
<v Speaker 1>and it is something that I think people generally look

0:16:25.480 --> 0:16:27.760
<v Speaker 1>at and say, okay, that that's kind of grimy. Like

0:16:27.800 --> 0:16:30.080
<v Speaker 1>it like a company that says, okay, there is a

0:16:30.160 --> 0:16:34.920
<v Speaker 1>fine for not obeying this environmental regulation, and we're going

0:16:34.960 --> 0:16:37.880
<v Speaker 1>to make more money by violating the regulation than we

0:16:37.920 --> 0:16:39.920
<v Speaker 1>would pay in the fine anybody, So we're just gonna

0:16:39.960 --> 0:16:42.680
<v Speaker 1>pay it. Yeah, you hear about that. With factories, for instance,

0:16:42.680 --> 0:16:45.320
<v Speaker 1>where where there'll be there'll be some situation where that

0:16:45.400 --> 0:16:48.480
<v Speaker 1>the fine is not significant enough to really be at

0:16:48.520 --> 0:16:51.840
<v Speaker 1>a turrent, it's just a for them breaking that that

0:16:51.880 --> 0:16:55.160
<v Speaker 1>mandate being called on it. Occasionally, it's just the cost

0:16:55.200 --> 0:16:58.520
<v Speaker 1>of doing business. Right. Uh. So, there's a funny way

0:16:58.560 --> 0:17:00.680
<v Speaker 1>to describe this point of view. The the authors bring

0:17:00.760 --> 0:17:04.399
<v Speaker 1>up here that they called the bad man theory. And

0:17:04.480 --> 0:17:07.520
<v Speaker 1>this comes from Justice Oliver Wendell Holmes, who is a

0:17:07.880 --> 0:17:10.720
<v Speaker 1>US Supreme Court justice. Uh And he's talking about the

0:17:10.760 --> 0:17:14.560
<v Speaker 1>economic view of substantive law. Uh And. Holmes wrote, quote,

0:17:14.760 --> 0:17:16.840
<v Speaker 1>if you want to know the law and nothing else,

0:17:16.880 --> 0:17:19.640
<v Speaker 1>you must look at it as a bad man who

0:17:19.680 --> 0:17:23.359
<v Speaker 1>cares only for the material consequences which such knowledge enables

0:17:23.440 --> 0:17:26.399
<v Speaker 1>him to predict, not as a good one who finds

0:17:26.480 --> 0:17:29.920
<v Speaker 1>his reasons for conduct, whether inside the law or outside

0:17:29.920 --> 0:17:33.600
<v Speaker 1>of it, in the vaguer sanctions of conscience. Uh. And,

0:17:33.640 --> 0:17:35.919
<v Speaker 1>so they write, the measure of the substantive law, in

0:17:35.960 --> 0:17:38.840
<v Speaker 1>other words, is not to be mixed up with moral qualms,

0:17:39.080 --> 0:17:42.359
<v Speaker 1>but is simply coextensive with its remedy. No more and

0:17:42.440 --> 0:17:45.199
<v Speaker 1>no less. It just is what the remedy is. It's

0:17:45.240 --> 0:17:47.399
<v Speaker 1>the cost of doing business. Now, of course, there are

0:17:47.400 --> 0:17:50.480
<v Speaker 1>plenty of legal scholars and philosophers who would dispute how

0:17:50.480 --> 0:17:53.600
<v Speaker 1>Holmes thinks of this. But the interesting question is how

0:17:53.640 --> 0:17:57.320
<v Speaker 1>does this apply to robots. If you're programming a robot

0:17:57.359 --> 0:18:01.600
<v Speaker 1>to behave well, you actually don't get to just sort

0:18:01.600 --> 0:18:05.000
<v Speaker 1>of like jump over this distinction the way humans do

0:18:05.160 --> 0:18:07.600
<v Speaker 1>when they think about their own moral conduct. Right, Like,

0:18:07.640 --> 0:18:10.199
<v Speaker 1>you're not sitting when you're trying to think what's a

0:18:10.200 --> 0:18:12.680
<v Speaker 1>good way to be a good person. You're not sitting

0:18:12.680 --> 0:18:15.320
<v Speaker 1>around thinking about well, am I going by the normative

0:18:15.400 --> 0:18:19.480
<v Speaker 1>view of morality or the economic view of morality? You know, Um,

0:18:19.640 --> 0:18:21.720
<v Speaker 1>you just sort of act a certain way whatever it

0:18:21.800 --> 0:18:23.760
<v Speaker 1>seems to you the right way to do. But if

0:18:23.800 --> 0:18:26.119
<v Speaker 1>you're trying to program a robot to behave well, you

0:18:26.160 --> 0:18:28.840
<v Speaker 1>have to make a choice whether to embrace the normative

0:18:28.880 --> 0:18:32.000
<v Speaker 1>view or the economic view. Does a robot view a

0:18:32.200 --> 0:18:36.639
<v Speaker 1>red light, say, as a firm prohibition against forward movement,

0:18:36.680 --> 0:18:38.800
<v Speaker 1>it's just a bad thing and you shouldn't do it

0:18:38.880 --> 0:18:41.199
<v Speaker 1>to drive through a red light? Or does it just

0:18:41.359 --> 0:18:45.919
<v Speaker 1>view it as a substantial discouragement against forward motion that

0:18:46.000 --> 0:18:49.119
<v Speaker 1>has a certain cost, and if you were to overcome

0:18:49.160 --> 0:18:52.000
<v Speaker 1>that cost, then you drive on through. Yeah, this is

0:18:52.000 --> 0:18:54.440
<v Speaker 1>a great, great question because I feel like with humans

0:18:54.560 --> 0:18:56.880
<v Speaker 1>we're probably mixing a match and all the time, yes,

0:18:57.240 --> 0:19:00.760
<v Speaker 1>you know, perhaps the same law breaking behavior. You know,

0:19:00.840 --> 0:19:03.000
<v Speaker 1>we may do both on on one thing, and we

0:19:03.040 --> 0:19:04.840
<v Speaker 1>do one on another thing, and then the other one

0:19:04.880 --> 0:19:07.240
<v Speaker 1>on its still a third thing, but with the robot

0:19:07.280 --> 0:19:09.679
<v Speaker 1>it seems like you're gonna deal more or less with

0:19:09.800 --> 0:19:14.280
<v Speaker 1>kind of an absolute direction. Either they're going to be

0:19:14.560 --> 0:19:18.000
<v Speaker 1>um either that the law is is to be obeyed

0:19:18.080 --> 0:19:21.760
<v Speaker 1>or the law is to be taken into your cost analysis. Well, yeah,

0:19:21.760 --> 0:19:23.880
<v Speaker 1>so they talked about how the normative you is actually

0:19:23.960 --> 0:19:29.400
<v Speaker 1>very much like uh Isaac Asimov's Laws of Robotics inviolable rules,

0:19:29.520 --> 0:19:33.000
<v Speaker 1>and the Asimov story is doing a very good job

0:19:33.400 --> 0:19:38.960
<v Speaker 1>of demonstrating why inviolable rules are really difficult to implement

0:19:39.000 --> 0:19:42.280
<v Speaker 1>in the real world. Like you know that they Asimov

0:19:42.320 --> 0:19:45.359
<v Speaker 1>explored this brilliantly. And along these lines, the authors here

0:19:45.440 --> 0:19:47.560
<v Speaker 1>argue that there there are major reasons to think it

0:19:47.600 --> 0:19:51.240
<v Speaker 1>will just not make any practical sense to program robots

0:19:51.440 --> 0:19:55.080
<v Speaker 1>with a normative view of legal remedies. That probably when

0:19:55.080 --> 0:19:57.800
<v Speaker 1>people make ais and robots that that have to take

0:19:57.800 --> 0:20:00.760
<v Speaker 1>these kinds of things into account, they're a most definitely

0:20:00.760 --> 0:20:05.080
<v Speaker 1>going to program them according to the economic view. Right. Uh.

0:20:05.119 --> 0:20:07.600
<v Speaker 1>They say that quote encoding the rule don't run a

0:20:07.640 --> 0:20:11.440
<v Speaker 1>red light as an absolute prohibition, for example, might sometimes

0:20:11.440 --> 0:20:14.399
<v Speaker 1>conflict with the more compelling goal of not letting your

0:20:14.480 --> 0:20:18.679
<v Speaker 1>driver die by being hit by an oncoming truck. So

0:20:18.960 --> 0:20:22.000
<v Speaker 1>the robots are probably going to have to be economically

0:20:22.760 --> 0:20:26.840
<v Speaker 1>economically motivated to an extent like this, um, But then

0:20:26.840 --> 0:20:29.119
<v Speaker 1>they talk about how you know, this gets very complicated

0:20:29.160 --> 0:20:33.959
<v Speaker 1>because robots will calculate the risks of reward and punishment

0:20:34.400 --> 0:20:37.600
<v Speaker 1>with different biases than humans, or maybe even without the

0:20:37.640 --> 0:20:40.800
<v Speaker 1>biases that humans have that the legal system relies on

0:20:41.000 --> 0:20:44.840
<v Speaker 1>in order to keep us obedient. Humans are highly motivated,

0:20:45.000 --> 0:20:48.040
<v Speaker 1>usually by certain types of punishments that like, you know,

0:20:48.440 --> 0:20:51.639
<v Speaker 1>humans like really don't want to spend a month in jail,

0:20:52.600 --> 0:20:54.479
<v Speaker 1>you know, most of the time. And you can't just

0:20:54.640 --> 0:20:58.840
<v Speaker 1>rely on a robot to be incredibly motivated by something

0:20:58.880 --> 0:21:00.760
<v Speaker 1>like this, first of all, because like it wouldn't even

0:21:00.760 --> 0:21:03.439
<v Speaker 1>make sense to send the robot itself to jail. So

0:21:03.520 --> 0:21:07.600
<v Speaker 1>you need some kind of organized system for making a

0:21:07.680 --> 0:21:11.879
<v Speaker 1>robot understand the cost of bad behavior in a systematized

0:21:11.880 --> 0:21:14.240
<v Speaker 1>way that made sense to the robot as a as

0:21:14.240 --> 0:21:17.959
<v Speaker 1>a demotivating incentive. Yeah, Like shame comes to mind as

0:21:17.960 --> 0:21:20.600
<v Speaker 1>another aspect of of all this, Like how do you

0:21:20.640 --> 0:21:23.879
<v Speaker 1>shame a robot? You have to program a robot to

0:21:24.000 --> 0:21:26.560
<v Speaker 1>feel Shane and being uh you know, made to give

0:21:26.600 --> 0:21:29.360
<v Speaker 1>a public apology or something. Yeah. Uh so, so they

0:21:29.440 --> 0:21:31.760
<v Speaker 1>argue that that it really only makes sense for robots

0:21:31.800 --> 0:21:34.840
<v Speaker 1>to look at legal remedies in an economic way, and

0:21:34.840 --> 0:21:37.439
<v Speaker 1>then they write quote, it thus appears that Justice Holmes

0:21:37.520 --> 0:21:41.399
<v Speaker 1>archetypical bad man, will finally be brought to corporeal form,

0:21:41.640 --> 0:21:44.359
<v Speaker 1>though ironically not as a man at all. And if

0:21:44.400 --> 0:21:49.400
<v Speaker 1>Justice Holmes metaphorical subject is truly morally impoverished and analytically deficient,

0:21:49.720 --> 0:21:53.680
<v Speaker 1>as some accused, it will have significant ramifications for robots.

0:21:54.200 --> 0:21:57.159
<v Speaker 1>But yeah, thinking about these incentives, it gets more and

0:21:57.200 --> 0:21:59.359
<v Speaker 1>more difficult. Like the more you try to imagine the

0:21:59.359 --> 0:22:04.520
<v Speaker 1>particular humans have self motivations, you know, pre existing motivations

0:22:04.560 --> 0:22:07.520
<v Speaker 1>that can just be assumed. In most cases, humans don't

0:22:07.560 --> 0:22:09.760
<v Speaker 1>want to pay out money, humans don't want to go

0:22:09.840 --> 0:22:14.080
<v Speaker 1>to jail. How would these costs be instantiated as motivating

0:22:14.119 --> 0:22:16.960
<v Speaker 1>for robots? You would have to you would have to

0:22:16.960 --> 0:22:21.080
<v Speaker 1>basically force some humans I guess meaning the programmers or

0:22:21.160 --> 0:22:25.440
<v Speaker 1>creators of the robots, to instill those costs as motivating

0:22:25.560 --> 0:22:28.240
<v Speaker 1>on the robot. But that's not always going to be

0:22:28.240 --> 0:22:31.840
<v Speaker 1>easy to do because, Okay, imagine a robot does violate

0:22:31.840 --> 0:22:34.240
<v Speaker 1>one of these norms and it causes harm to somebody,

0:22:34.560 --> 0:22:37.919
<v Speaker 1>and as a result, the court says, okay, uh, someone,

0:22:38.000 --> 0:22:40.960
<v Speaker 1>you know, someone has been harmed by this negligent or

0:22:41.000 --> 0:22:44.880
<v Speaker 1>failed autonomous vehicle, and now there must be a payout.

0:22:46.000 --> 0:22:49.919
<v Speaker 1>Who actually pays? Where is the pain of the punishment located?

0:22:50.640 --> 0:22:53.320
<v Speaker 1>A bunch of complications to this problem arise, like it

0:22:53.359 --> 0:22:57.040
<v Speaker 1>gets way more complicated than just the programmer or the owner,

0:22:57.520 --> 0:23:01.000
<v Speaker 1>especially because in this age of artificial intelligence, there is

0:23:01.000 --> 0:23:04.800
<v Speaker 1>a kind of there's a kind of distributed responsibility across

0:23:04.880 --> 0:23:08.679
<v Speaker 1>many parties. The authors write, quote robots are composed of

0:23:08.720 --> 0:23:12.840
<v Speaker 1>many complex components, learning from their interactions with thousands, millions,

0:23:12.880 --> 0:23:16.679
<v Speaker 1>or even billions of data points. And they are often designed, operated,

0:23:16.800 --> 0:23:20.199
<v Speaker 1>least or owned by different companies. Which party is to

0:23:20.280 --> 0:23:23.439
<v Speaker 1>internalize these costs. The one that designed the robot or

0:23:23.440 --> 0:23:25.399
<v Speaker 1>AI in the first place, and that might even be

0:23:25.480 --> 0:23:28.680
<v Speaker 1>multiple companies, The one that collected and curated the data

0:23:28.720 --> 0:23:31.960
<v Speaker 1>set used to train its algorithm in unpredictable ways, the

0:23:32.160 --> 0:23:34.800
<v Speaker 1>users who bought the robot and deployed it in the field.

0:23:35.200 --> 0:23:37.679
<v Speaker 1>And then it gets even more complicated than that, because

0:23:37.800 --> 0:23:41.320
<v Speaker 1>the authors start going into tons of ways that we

0:23:41.359 --> 0:23:45.600
<v Speaker 1>can predict now that it's unlikely that these costs will

0:23:45.640 --> 0:23:50.320
<v Speaker 1>be internalized in commercially produced robots in ways that are

0:23:50.359 --> 0:23:55.119
<v Speaker 1>socially optimal. Because if if you're you're asking a corporation

0:23:55.200 --> 0:23:58.439
<v Speaker 1>that makes robots to take into account some type of

0:23:58.480 --> 0:24:04.480
<v Speaker 1>economic disincent of against the robot behaving badly, other economic

0:24:04.520 --> 0:24:07.919
<v Speaker 1>incentives are going to be competing with those disincentives, right.

0:24:08.400 --> 0:24:11.200
<v Speaker 1>Uh So the author's right. For instance, if I make

0:24:11.240 --> 0:24:13.960
<v Speaker 1>it clear that my car will kill its driver rather

0:24:14.040 --> 0:24:17.240
<v Speaker 1>than run over a pedestrian, if the issue arises, people

0:24:17.320 --> 0:24:20.359
<v Speaker 1>might not buy my car. The economic costs of lost

0:24:20.400 --> 0:24:23.959
<v Speaker 1>sales may swamp the costs of liability from a contrary choice.

0:24:24.359 --> 0:24:26.960
<v Speaker 1>In the other direction, car companies could run into pr

0:24:27.080 --> 0:24:30.439
<v Speaker 1>problems if their cars run over kids. But simply it

0:24:30.560 --> 0:24:34.600
<v Speaker 1>is aggregate profits, not just profits related to legal sanctions,

0:24:34.760 --> 0:24:38.199
<v Speaker 1>that will drive robot decision making. And then there are

0:24:38.280 --> 0:24:40.400
<v Speaker 1>still a million other things to consider. I mean, one

0:24:40.440 --> 0:24:42.880
<v Speaker 1>thing they talk about is the idea that even within

0:24:43.000 --> 0:24:48.119
<v Speaker 1>corporations that produce robots and AI, uh, the parts of

0:24:48.160 --> 0:24:51.840
<v Speaker 1>those corporations don't all understand what the other parts are doing.

0:24:52.240 --> 0:24:55.359
<v Speaker 1>You know, they say, workers within these corporations are likely

0:24:55.400 --> 0:25:00.280
<v Speaker 1>to be siloed in ways that interfere with effective cost internalization. Uh.

0:25:00.359 --> 0:25:04.240
<v Speaker 1>Quote machine learning is a specialized programming skill, and programmers

0:25:04.280 --> 0:25:07.719
<v Speaker 1>aren't economists. Uh. And then they talked about why in

0:25:07.760 --> 0:25:10.600
<v Speaker 1>many cases, it's going to be really difficult to answer

0:25:10.680 --> 0:25:13.760
<v Speaker 1>the question of why an AI did what it did?

0:25:13.840 --> 0:25:17.200
<v Speaker 1>So can you even determine that the AI, say, was,

0:25:17.200 --> 0:25:19.640
<v Speaker 1>was acting in a way that wasn't reasonable? Like, how

0:25:19.680 --> 0:25:23.119
<v Speaker 1>could you ever fundamentally examine the state of mind of

0:25:23.160 --> 0:25:26.000
<v Speaker 1>the AI well enough to to prove that the decision

0:25:26.080 --> 0:25:29.680
<v Speaker 1>it made wasn't the most reasonable one from its own perspective.

0:25:30.119 --> 0:25:31.840
<v Speaker 1>But then another thing they raised, I think is a

0:25:31.880 --> 0:25:34.520
<v Speaker 1>really interesting point, And this gets into one of the

0:25:34.520 --> 0:25:37.720
<v Speaker 1>things we talked about in the last episode where thinking

0:25:37.880 --> 0:25:43.680
<v Speaker 1>about culpability uh for AI and robots actually makes us

0:25:44.320 --> 0:25:47.280
<v Speaker 1>is going to force us to re examine our ideas

0:25:47.359 --> 0:25:50.439
<v Speaker 1>of of culpability and blame when it comes to human

0:25:50.480 --> 0:25:55.000
<v Speaker 1>decision making. Because they talk about this the idea that quote,

0:25:55.080 --> 0:26:00.399
<v Speaker 1>the sheer rationality of robot decision making may itself provoke

0:26:00.520 --> 0:26:03.560
<v Speaker 1>the ire of humans. Now, how would that be? It

0:26:03.600 --> 0:26:05.440
<v Speaker 1>seems like we would say, okay, well, you know we

0:26:05.480 --> 0:26:07.800
<v Speaker 1>want robots to be as rational as possible. We don't

0:26:07.800 --> 0:26:12.320
<v Speaker 1>want them to be irrational. But it is often only

0:26:12.560 --> 0:26:16.800
<v Speaker 1>by carelessly putting costs and risks out of mind that

0:26:16.840 --> 0:26:20.160
<v Speaker 1>we are able to go about our lives. For example,

0:26:20.520 --> 0:26:24.080
<v Speaker 1>people drive cars, and no matter how safe of a

0:26:24.160 --> 0:26:27.880
<v Speaker 1>driver you are, driving a car comes with the unavoidable

0:26:28.040 --> 0:26:31.800
<v Speaker 1>risk that you will harm someone uh the right quote.

0:26:31.840 --> 0:26:34.959
<v Speaker 1>Any economist will tell you that the optimal number of

0:26:35.040 --> 0:26:38.919
<v Speaker 1>deaths from many socially beneficial activities is more than zero

0:26:39.359 --> 0:26:42.040
<v Speaker 1>where it Otherwise, our cars would never go more than

0:26:42.119 --> 0:26:45.520
<v Speaker 1>five miles per hour. Indeed, we would rarely leave our

0:26:45.560 --> 0:26:48.639
<v Speaker 1>homes at all. Even today, we deal with those costs

0:26:48.640 --> 0:26:52.679
<v Speaker 1>and remedies law unevenly. The effective statistical price of a

0:26:52.760 --> 0:26:55.600
<v Speaker 1>human life in court decisions is all over the map.

0:26:55.960 --> 0:26:59.159
<v Speaker 1>The calculation is generally done ad hoc and after the

0:26:59.200 --> 0:27:03.480
<v Speaker 1>fact that it allows us to avoid explicitly discussing politically

0:27:03.520 --> 0:27:07.280
<v Speaker 1>fraught concepts that can lead to accusations of trading lives

0:27:07.320 --> 0:27:10.600
<v Speaker 1>for cash. And it may work acceptably for humans because

0:27:10.600 --> 0:27:14.399
<v Speaker 1>we have instinctive reactions against injuring others that make deterrence

0:27:14.560 --> 0:27:17.879
<v Speaker 1>less important. But in many instances robots will need to

0:27:18.080 --> 0:27:22.080
<v Speaker 1>quantify the value we put on a life if they

0:27:22.080 --> 0:27:26.160
<v Speaker 1>are to modify their behavior at all. Accordingly, the companies

0:27:26.200 --> 0:27:28.960
<v Speaker 1>that make robots will have to figure out how much

0:27:29.040 --> 0:27:32.000
<v Speaker 1>they value human life, and they will have to write

0:27:32.040 --> 0:27:35.080
<v Speaker 1>it down in the algorithm for all to see, at

0:27:35.160 --> 0:27:39.359
<v Speaker 1>least after extensive discovery, uh, referring to like you know

0:27:39.400 --> 0:27:41.720
<v Speaker 1>what the courts will find out by looking into how

0:27:41.720 --> 0:27:44.399
<v Speaker 1>these algorithms are created. And I think this is a

0:27:44.400 --> 0:27:47.840
<v Speaker 1>fantastic point, Like, in order for a robot to make

0:27:47.880 --> 0:27:51.000
<v Speaker 1>ethical decisions about living in the real world, it's going

0:27:51.040 --> 0:27:54.080
<v Speaker 1>to have to do things like put a price tag

0:27:54.200 --> 0:27:57.200
<v Speaker 1>on you know, what kind of risk to human life

0:27:57.240 --> 0:28:00.840
<v Speaker 1>is acceptable in order for it to do anything. And

0:28:01.119 --> 0:28:04.120
<v Speaker 1>we don't. That seems monstrous to us. It does not

0:28:04.200 --> 0:28:08.480
<v Speaker 1>seem reasonable for any percent chance of harming a human,

0:28:09.160 --> 0:28:13.199
<v Speaker 1>of killing somebody to be the unacceptable risk of your

0:28:13.280 --> 0:28:16.320
<v Speaker 1>day to day activities. And yet it actually already is that,

0:28:16.359 --> 0:28:19.520
<v Speaker 1>you know, it always is that way whenever we do anything,

0:28:20.040 --> 0:28:22.520
<v Speaker 1>but we just like have to put it out of mind,

0:28:22.560 --> 0:28:25.880
<v Speaker 1>like we can't think about it. Yeah, I mean, like,

0:28:25.920 --> 0:28:30.040
<v Speaker 1>what's the alternative, right A programming monstrous self delusion into

0:28:30.119 --> 0:28:32.720
<v Speaker 1>the self driving car where it says I will not

0:28:32.800 --> 0:28:36.080
<v Speaker 1>get into a wreck on my on my next route

0:28:36.160 --> 0:28:39.000
<v Speaker 1>because I cannot That cannot happen to me. It has

0:28:39.040 --> 0:28:41.120
<v Speaker 1>never happened to me before, it will never happen. You know,

0:28:41.440 --> 0:28:45.800
<v Speaker 1>these sorts of you know, ridiculous, not even statements that

0:28:45.880 --> 0:28:47.360
<v Speaker 1>we make in our mind. It's just kind of like

0:28:47.400 --> 0:28:50.360
<v Speaker 1>assumptions like that's that's the kind of thing that happens

0:28:50.400 --> 0:28:53.040
<v Speaker 1>to other drivers, and it's not going to happen to me,

0:28:53.080 --> 0:28:55.760
<v Speaker 1>even though we we've all seen the you know, the

0:28:55.800 --> 0:28:58.640
<v Speaker 1>statistics before. Yeah, exactly, I mean, I think this is

0:28:58.680 --> 0:29:01.520
<v Speaker 1>a really good point. And uh so in this case,

0:29:01.560 --> 0:29:05.560
<v Speaker 1>the robot wouldn't even necessarily be doing something evil. In fact,

0:29:05.840 --> 0:29:08.040
<v Speaker 1>you could argue there could be cases where the robot

0:29:08.200 --> 0:29:11.440
<v Speaker 1>is behaving in a way that is far safer, far

0:29:11.560 --> 0:29:14.600
<v Speaker 1>less risky than the average human doing the same thing.

0:29:15.160 --> 0:29:20.160
<v Speaker 1>But the very fact of its clearly coded rationality reveals

0:29:20.280 --> 0:29:23.440
<v Speaker 1>something that is already true about human societies, which we

0:29:23.520 --> 0:29:33.040
<v Speaker 1>can't really bear to look at or think about. So

0:29:33.080 --> 0:29:35.720
<v Speaker 1>another thing that the author has explored that I think

0:29:35.840 --> 0:29:40.760
<v Speaker 1>is really interesting is the idea of how robot punishment

0:29:41.400 --> 0:29:46.640
<v Speaker 1>would make it like directly punishing the robot itself, whether

0:29:46.720 --> 0:29:49.840
<v Speaker 1>how that possibility might make us rethink the idea of

0:29:49.960 --> 0:29:53.840
<v Speaker 1>punishing humans. Uh, Now, of course, it's just the case

0:29:53.960 --> 0:29:56.240
<v Speaker 1>that whether or not it actually serves as any kind

0:29:56.240 --> 0:30:00.920
<v Speaker 1>of deterrent, whether or not it actually rationally reduces is harm.

0:30:01.000 --> 0:30:04.800
<v Speaker 1>It may just be unavoidable that humans sometimes feel they

0:30:04.920 --> 0:30:10.160
<v Speaker 1>want to inflict direct harm on a perpetrator as punishment

0:30:10.280 --> 0:30:13.280
<v Speaker 1>for the crime they're alleged to have committed, and that

0:30:13.360 --> 0:30:16.000
<v Speaker 1>may well translate to robots themselves. I mean, you can

0:30:16.040 --> 0:30:19.040
<v Speaker 1>imagine we we've all I think, raged against an inanimate

0:30:19.080 --> 0:30:21.680
<v Speaker 1>object before. We wanted to kick a printer or something

0:30:21.720 --> 0:30:24.120
<v Speaker 1>like that. Uh. And we talked in the last episode

0:30:24.160 --> 0:30:28.360
<v Speaker 1>about some of that psychological research about how people mindlessly

0:30:28.360 --> 0:30:32.240
<v Speaker 1>apply social rules to robots. The authors here right, Certainly

0:30:32.280 --> 0:30:36.040
<v Speaker 1>people punch or smash inanimate objects all the time. Juries

0:30:36.120 --> 0:30:39.480
<v Speaker 1>might similarly want to punish a robot not to create

0:30:39.520 --> 0:30:43.760
<v Speaker 1>optimal cost internalization, but because it makes the jury and

0:30:43.840 --> 0:30:47.360
<v Speaker 1>the victim feel better. The authors write later towards their

0:30:47.360 --> 0:30:50.840
<v Speaker 1>conclusion about the idea of directly punishing robots that quote,

0:30:50.880 --> 0:30:54.760
<v Speaker 1>this seems socially wasteful. Punishing robots not to make them

0:30:54.800 --> 0:30:57.680
<v Speaker 1>behave better, but just to punish them is kind of

0:30:57.720 --> 0:31:00.760
<v Speaker 1>like kicking a puppy that can't understand why it's being hurt.

0:31:01.160 --> 0:31:03.920
<v Speaker 1>The same might be true of punishing people to make

0:31:04.000 --> 0:31:06.920
<v Speaker 1>us feel better, but with robots, the punishment is stripped

0:31:06.920 --> 0:31:09.440
<v Speaker 1>of any pretense that it is sending a message to

0:31:09.520 --> 0:31:13.400
<v Speaker 1>make the robot understand the wrongness of its actions. Now,

0:31:13.600 --> 0:31:16.280
<v Speaker 1>I'm pretty sympathetic personally to the point of view that

0:31:16.400 --> 0:31:19.360
<v Speaker 1>a lot of punishment that happens in the world is

0:31:19.400 --> 0:31:23.360
<v Speaker 1>not actually uh, is not actually a rational way to

0:31:23.560 --> 0:31:27.880
<v Speaker 1>reduce harm, but just kind of like is uh. You know,

0:31:28.320 --> 0:31:30.320
<v Speaker 1>if it serves any purpose, it is the purpose of

0:31:30.320 --> 0:31:33.440
<v Speaker 1>the emotional satisfaction of people who feel they've been wronged,

0:31:33.520 --> 0:31:36.960
<v Speaker 1>or people who want to demonstrate moral approprium on on

0:31:37.120 --> 0:31:41.760
<v Speaker 1>the offender. But I understand that, you know, in some cases,

0:31:41.800 --> 0:31:45.840
<v Speaker 1>you could imagine that punishing somebody serves as an object

0:31:45.880 --> 0:31:49.560
<v Speaker 1>example that deters behavior in the future, and to the

0:31:49.600 --> 0:31:51.560
<v Speaker 1>extent that that is ever the case. If it is

0:31:51.640 --> 0:31:55.000
<v Speaker 1>the case, could punishing a robot serve that role, could

0:31:55.040 --> 0:31:58.640
<v Speaker 1>actually inflicting say like like punching a robot or somehow

0:31:58.680 --> 0:32:02.120
<v Speaker 1>otherwise punishing a robot serve as a kind of object

0:32:02.160 --> 0:32:06.400
<v Speaker 1>example that deters behavior in humans, say, say the humans

0:32:06.400 --> 0:32:10.160
<v Speaker 1>who will program the robots of the future. It's your

0:32:10.320 --> 0:32:13.800
<v Speaker 1>kind of symbolism to imagine. Yeah, I mean, when you

0:32:13.840 --> 0:32:17.640
<v Speaker 1>start thinking about, you know, the ways to punish robots,

0:32:17.640 --> 0:32:19.720
<v Speaker 1>I mean you think of some of the more ridiculous

0:32:19.720 --> 0:32:22.680
<v Speaker 1>examples that have been brought up in sci fi and

0:32:22.720 --> 0:32:27.080
<v Speaker 1>sci fi comedy, like robot hells and so forth. Um,

0:32:27.120 --> 0:32:30.400
<v Speaker 1>And or just the idea of even destroying or deleting

0:32:30.880 --> 0:32:35.320
<v Speaker 1>a robot that is faulty or misbehaving. Um. But but maybe,

0:32:35.440 --> 0:32:37.440
<v Speaker 1>you know, maybe it ends up being something more like

0:32:37.480 --> 0:32:41.040
<v Speaker 1>I think of game systems right where say, if you

0:32:41.520 --> 0:32:45.680
<v Speaker 1>accumulate too many of uh say madness points, your I

0:32:45.680 --> 0:32:47.880
<v Speaker 1>don't know, your movement is cut in half, that sort

0:32:47.880 --> 0:32:50.880
<v Speaker 1>of thing, and then that has a ramification on how

0:32:50.960 --> 0:32:52.880
<v Speaker 1>you play the game and to what extent you can

0:32:52.880 --> 0:32:56.000
<v Speaker 1>play the game well. And therefore, like playing into the

0:32:56.040 --> 0:32:59.680
<v Speaker 1>economic model, you know, it could it could have sort

0:32:59.720 --> 0:33:02.960
<v Speaker 1>of our officially constructed but very real consequences on how

0:33:03.040 --> 0:33:06.720
<v Speaker 1>well a system could behave, you know, But then again

0:33:06.880 --> 0:33:09.640
<v Speaker 1>you can imagine ways that an AI might find ways

0:33:09.680 --> 0:33:12.440
<v Speaker 1>to to circumvent that and say, well, if I play

0:33:12.520 --> 0:33:15.160
<v Speaker 1>the game a certain way where I don't need to

0:33:15.560 --> 0:33:18.120
<v Speaker 1>move at normal speed, I can just move at half

0:33:18.160 --> 0:33:21.280
<v Speaker 1>speed but have the benefit of getting to break these rules.

0:33:21.800 --> 0:33:23.560
<v Speaker 1>Then who knows, you know, it just I feel like

0:33:24.080 --> 0:33:28.720
<v Speaker 1>there it seems an inescapable maze. Yeah, well that's that's

0:33:28.720 --> 0:33:32.240
<v Speaker 1>interesting because that is edging toward another thing that the

0:33:32.240 --> 0:33:34.440
<v Speaker 1>authors actually talked about here, which is the idea of

0:33:34.480 --> 0:33:38.640
<v Speaker 1>a robot death penalty. Uh. And this is funny because

0:33:38.760 --> 0:33:42.440
<v Speaker 1>I again because personally, you know, I see a lot

0:33:42.480 --> 0:33:45.520
<v Speaker 1>of flaws in in applying a death penalty to humans.

0:33:45.600 --> 0:33:49.520
<v Speaker 1>I think that is a very flawed, uh judicial remedy.

0:33:49.640 --> 0:33:53.800
<v Speaker 1>But I can understand a death penalty for robots, Like

0:33:54.160 --> 0:33:57.600
<v Speaker 1>you know, robots don't have the same rights as human defendants.

0:33:57.840 --> 0:34:01.480
<v Speaker 1>If a robot is malfunctioning or behaving in a way

0:34:01.520 --> 0:34:05.120
<v Speaker 1>that is so dangerous as to suggest it is likely

0:34:05.160 --> 0:34:08.840
<v Speaker 1>in the future to continue to endanger human lives to

0:34:08.920 --> 0:34:13.000
<v Speaker 1>an unacceptable extent, then yeah, it seems to me reasonable

0:34:13.040 --> 0:34:16.759
<v Speaker 1>that you should just turn off that robot permanently. Okay,

0:34:16.800 --> 0:34:19.000
<v Speaker 1>But but then again, and then it raises the question, well,

0:34:19.000 --> 0:34:21.880
<v Speaker 1>what about what what led us to this malfunction? Is

0:34:21.880 --> 0:34:24.560
<v Speaker 1>there something in the system itself that needs to be

0:34:24.600 --> 0:34:28.000
<v Speaker 1>remedied in order to prevent that from happening. Again, that's

0:34:28.040 --> 0:34:30.920
<v Speaker 1>like very good point, and the authors bring up exactly

0:34:30.960 --> 0:34:34.319
<v Speaker 1>this concern. Yeah, so they say, well, then again, so

0:34:34.360 --> 0:34:36.959
<v Speaker 1>a robot might not have human rights where you would

0:34:36.960 --> 0:34:39.799
<v Speaker 1>be concerned about the death penalty for the robot's own good,

0:34:40.239 --> 0:34:42.840
<v Speaker 1>but you might be concerned about what you are failing

0:34:42.880 --> 0:34:45.360
<v Speaker 1>to be able to learn from. Allowing the robot to

0:34:45.400 --> 0:34:48.800
<v Speaker 1>continue to operate like that that could help you refine

0:34:49.000 --> 0:34:51.239
<v Speaker 1>AI in the future. Maybe not letting it continue to

0:34:51.280 --> 0:34:53.680
<v Speaker 1>operate in the wild, but I don't know, keeping it

0:34:53.920 --> 0:34:56.880
<v Speaker 1>operative in some sense because like, whatever it's doing is

0:34:56.920 --> 0:35:00.000
<v Speaker 1>something we need to understand better. With the robot prison

0:35:00.000 --> 0:35:04.200
<v Speaker 1>instead of robot death penalty. Um. And of course that

0:35:04.280 --> 0:35:07.640
<v Speaker 1>the human comparison to be made is equally as is

0:35:07.640 --> 0:35:11.960
<v Speaker 1>frustrating because you end up with scenarios where you'll have, um,

0:35:12.080 --> 0:35:15.919
<v Speaker 1>a society that's very pro death penalty. But then when

0:35:15.920 --> 0:35:19.000
<v Speaker 1>it comes to doing the same sort of backwork and saying, well,

0:35:19.040 --> 0:35:21.279
<v Speaker 1>what led to this case, what were some of the

0:35:21.360 --> 0:35:25.719
<v Speaker 1>systematic problems, uh, cultural problems, societal problems. I don't know,

0:35:25.800 --> 0:35:28.040
<v Speaker 1>you know, well, whatever it is that that led to

0:35:28.080 --> 0:35:30.480
<v Speaker 1>this case that needed to be remedied with death. Should

0:35:30.480 --> 0:35:33.200
<v Speaker 1>we correct those problems too, And in some cases the

0:35:33.200 --> 0:35:35.040
<v Speaker 1>answer seems to be, oh, no, we're not doing that.

0:35:35.440 --> 0:35:38.400
<v Speaker 1>We'll just we'll just do the death penalty as is necessary,

0:35:38.600 --> 0:35:40.880
<v Speaker 1>even though it doesn't actually prevent us from reaching this

0:35:41.080 --> 0:35:43.719
<v Speaker 1>this point over and over again. I mean, I feel

0:35:43.719 --> 0:35:45.799
<v Speaker 1>like it's one of the most common features of the

0:35:45.840 --> 0:35:49.359
<v Speaker 1>tough on crime mentality that it is resistant to the

0:35:49.440 --> 0:35:53.120
<v Speaker 1>idea of understanding why what led a person to commit

0:35:53.120 --> 0:35:56.160
<v Speaker 1>a crime. I mean, you've heard I'm trying to think

0:35:56.200 --> 0:35:57.879
<v Speaker 1>of an example of somebody, but I mean you've heard

0:35:57.920 --> 0:36:00.640
<v Speaker 1>the person say, oh, uh, you know, you're just gonna

0:36:00.640 --> 0:36:02.880
<v Speaker 1>give some sob story about what happened when he was

0:36:02.920 --> 0:36:05.839
<v Speaker 1>a child or something like that. Yeah, yeah, yeah, yeah,

0:36:05.840 --> 0:36:09.479
<v Speaker 1>I've definitely encountered that that that counter argument before. Yeah,

0:36:09.600 --> 0:36:11.560
<v Speaker 1>but yeah, I mean, I think we're probably on the

0:36:11.600 --> 0:36:14.640
<v Speaker 1>same page that it really probably is very useful to

0:36:14.680 --> 0:36:17.640
<v Speaker 1>try to understand what are the common underlying conditions that

0:36:17.719 --> 0:36:21.640
<v Speaker 1>you can detect when people do something bad. And of course,

0:36:21.680 --> 0:36:23.920
<v Speaker 1>the same thing would be true of robots, right, And

0:36:23.960 --> 0:36:27.520
<v Speaker 1>it seems like with robots there would potentially be room

0:36:27.560 --> 0:36:31.719
<v Speaker 1>for true rehabilitation with with with these things. If not,

0:36:32.040 --> 0:36:33.600
<v Speaker 1>I mean, certainly you could look at it in a

0:36:33.640 --> 0:36:37.160
<v Speaker 1>software hardware scenario where like, Okay, the software's something's wrong

0:36:37.200 --> 0:36:39.560
<v Speaker 1>with the software, Well delete that, put in some some

0:36:39.640 --> 0:36:44.160
<v Speaker 1>healthy software, um, but keep the hardware. Uh. You know

0:36:44.280 --> 0:36:47.480
<v Speaker 1>that's in a way, that's rehabilitation right there. It's a

0:36:47.520 --> 0:36:50.600
<v Speaker 1>sort of rehabilitation that's not possible with humans. We can't

0:36:50.960 --> 0:36:53.439
<v Speaker 1>wipe somebody's mental state and replace it with a new,

0:36:53.520 --> 0:36:56.120
<v Speaker 1>factory clean mental state. You know, we can't go back

0:36:56.160 --> 0:37:01.640
<v Speaker 1>and edit someone's memories and traumas and what have you. Uh,

0:37:01.880 --> 0:37:04.319
<v Speaker 1>But with machines, it seems like we would have more

0:37:04.400 --> 0:37:08.520
<v Speaker 1>ability to do something of that nature. Yeah. Though, this

0:37:08.560 --> 0:37:10.200
<v Speaker 1>is another thing that comes up, and I mean, of

0:37:10.239 --> 0:37:12.799
<v Speaker 1>course it probably would be useful to try to learn

0:37:12.960 --> 0:37:16.480
<v Speaker 1>from failed AI in order to better perfect AI and robots.

0:37:16.520 --> 0:37:19.560
<v Speaker 1>But on the other hand, in in basically the idea

0:37:19.560 --> 0:37:24.080
<v Speaker 1>of trying to rehabilitate or reprogram robots that do wrong, uh,

0:37:24.160 --> 0:37:26.600
<v Speaker 1>the authors point out that they're probably going to be

0:37:26.640 --> 0:37:31.000
<v Speaker 1>a lot of difficulties in enforcing say, the equivalent of

0:37:31.080 --> 0:37:33.560
<v Speaker 1>court orders against robots. So one thing that is a

0:37:33.560 --> 0:37:37.520
<v Speaker 1>common remedy in in legal cases against humans, as you

0:37:37.600 --> 0:37:40.000
<v Speaker 1>might get a restraining order, you know, you need to

0:37:40.000 --> 0:37:43.279
<v Speaker 1>stay fifty feet away from somebody right uh, fifty feet

0:37:43.320 --> 0:37:45.880
<v Speaker 1>away from the plantiff or something like that, or you

0:37:45.920 --> 0:37:48.360
<v Speaker 1>need to not operate a vehicle or you know something.

0:37:48.640 --> 0:37:51.000
<v Speaker 1>There will be cases where it's probably difficult to enforce

0:37:51.080 --> 0:37:53.400
<v Speaker 1>that same kind of thing on a robot, especially on

0:37:53.640 --> 0:37:59.319
<v Speaker 1>robots whose behavior is determined by a complex interaction of

0:37:59.480 --> 0:38:02.920
<v Speaker 1>rules that are not explicitly coded by humans. So, you know,

0:38:03.040 --> 0:38:06.040
<v Speaker 1>most AI these days is not going to be a

0:38:06.080 --> 0:38:09.319
<v Speaker 1>series of if then statements written by humans, but it's

0:38:09.320 --> 0:38:12.400
<v Speaker 1>going to be determined by machine learning, which can to

0:38:12.600 --> 0:38:15.480
<v Speaker 1>some extent be sort of reverse engineered and and somewhat

0:38:15.520 --> 0:38:18.160
<v Speaker 1>understood by humans. But the more complex it is, the

0:38:18.200 --> 0:38:20.480
<v Speaker 1>harder it is to do that. And so there might

0:38:20.480 --> 0:38:23.520
<v Speaker 1>be a lot of cases where you know, you say, okay,

0:38:23.560 --> 0:38:26.120
<v Speaker 1>this robot needs to do X, it needs to obit,

0:38:26.200 --> 0:38:28.640
<v Speaker 1>you know, stay fifty feet away from the plaintiff or something,

0:38:29.120 --> 0:38:31.440
<v Speaker 1>but the person you know, whoever is in charge of

0:38:31.480 --> 0:38:33.279
<v Speaker 1>the robot might say, I don't know how to make

0:38:33.320 --> 0:38:37.120
<v Speaker 1>it do that. Or the possibly more tragic or funnier

0:38:37.160 --> 0:38:40.640
<v Speaker 1>example would be the it discovers the equivalent of the

0:38:41.560 --> 0:38:43.480
<v Speaker 1>drone with the wormhole that we talked about in the

0:38:43.560 --> 0:38:46.360
<v Speaker 1>last episode, right where it's the robot is told to

0:38:46.440 --> 0:38:48.960
<v Speaker 1>keep fifty feet of distance between you and the plaintiff.

0:38:49.239 --> 0:38:51.760
<v Speaker 1>Robot obeys the role by lifting the plaintiff and throwing

0:38:51.760 --> 0:38:56.040
<v Speaker 1>them fifty feet away. So, to read another section from

0:38:56.160 --> 0:38:58.840
<v Speaker 1>Limley and Casey here, they're right to issue an effective

0:38:58.840 --> 0:39:01.279
<v Speaker 1>injunction that causes is a robot to do what we

0:39:01.400 --> 0:39:04.680
<v Speaker 1>want it to do and nothing else. Requires both extreme

0:39:04.840 --> 0:39:09.560
<v Speaker 1>foresight and extreme precision in drafting it. If injunctions are

0:39:09.600 --> 0:39:11.440
<v Speaker 1>to work at all, courts will have to spend a

0:39:11.480 --> 0:39:14.640
<v Speaker 1>lot more time thinking about exactly what they want to

0:39:14.719 --> 0:39:18.879
<v Speaker 1>happen and all the possible circumstances that could arise. If

0:39:18.920 --> 0:39:22.640
<v Speaker 1>past experiences any indication courts are unlikely to do it

0:39:22.719 --> 0:39:25.360
<v Speaker 1>very well. That's not a knock on courts. Rather, the

0:39:25.400 --> 0:39:29.359
<v Speaker 1>problem is twofold words are notoriously bad at conveying our

0:39:29.400 --> 0:39:35.120
<v Speaker 1>intended meaning, and people are notoriously bad at predicting the future. Coders,

0:39:35.160 --> 0:39:37.600
<v Speaker 1>for their part, aren't known for their deep understanding of

0:39:37.640 --> 0:39:40.719
<v Speaker 1>the law, and so we should expect errors in translation.

0:39:40.960 --> 0:39:44.239
<v Speaker 1>Even if the injunction is flawlessly written, and if we

0:39:44.320 --> 0:39:47.360
<v Speaker 1>fall into any of these traps, the consequences of drafting

0:39:47.360 --> 0:39:52.120
<v Speaker 1>the injunction incompletely maybe quite severe. So I'm imagining you

0:39:52.200 --> 0:39:54.960
<v Speaker 1>issue a court order to a robot to do something

0:39:55.080 --> 0:39:57.280
<v Speaker 1>or not do something. You're kind of in the situation

0:39:57.320 --> 0:40:00.960
<v Speaker 1>of like the monkeys Paw wish, you know, right, like, oh,

0:40:01.400 --> 0:40:03.520
<v Speaker 1>you shouldn't have phrased it that way, Now you're in

0:40:03.560 --> 0:40:06.799
<v Speaker 1>for real trouble. Or what's the better example of that

0:40:06.840 --> 0:40:09.000
<v Speaker 1>isn't There's some movie we were just talking about recently

0:40:09.040 --> 0:40:11.759
<v Speaker 1>with like the Bad Genie who when you phrase a

0:40:11.800 --> 0:40:14.319
<v Speaker 1>wish wrong, does you know works it out on you

0:40:14.360 --> 0:40:17.480
<v Speaker 1>in a terrible way. Um, I don't know. We were

0:40:17.520 --> 0:40:20.560
<v Speaker 1>talking about Lepricn or wish Master or something. Does LEPrecon

0:40:20.640 --> 0:40:24.359
<v Speaker 1>grant wishes? I don't remember LEPrecon granting any wishes? What's

0:40:24.360 --> 0:40:27.120
<v Speaker 1>he do? Then? I think the only one I've seen

0:40:27.200 --> 0:40:29.560
<v Speaker 1>is Lepricon in space, So I'm a little foggy on

0:40:29.600 --> 0:40:33.080
<v Speaker 1>the the logic. I don't think he grants wishes. He

0:40:33.200 --> 0:40:36.920
<v Speaker 1>just he just like rides around on skateboards and punishes people.

0:40:37.040 --> 0:40:39.360
<v Speaker 1>He just attacks people who try to get his gold

0:40:39.360 --> 0:40:42.000
<v Speaker 1>and stuff. Well, Lepricans in general are known for this

0:40:42.080 --> 0:40:45.279
<v Speaker 1>sort of thing, though, are they. Yeah, Okay, if you're

0:40:45.280 --> 0:40:49.160
<v Speaker 1>not precise enough, they'll work something in there to cheat

0:40:49.200 --> 0:40:52.560
<v Speaker 1>you out of your your your prize. I'm trying to think, so, like,

0:40:52.600 --> 0:40:54.960
<v Speaker 1>don't come within fifty feet of the plaintiff. And so

0:40:55.040 --> 0:40:57.440
<v Speaker 1>the robot I don't know, like it builds a big

0:40:57.560 --> 0:41:00.520
<v Speaker 1>yard stick made out of human feed or something. Yeah, yeah,

0:41:00.560 --> 0:41:04.319
<v Speaker 1>it has fifty ft long arms again to lifted them

0:41:04.320 --> 0:41:07.319
<v Speaker 1>into the air. Something to that effect, or say the

0:41:07.640 --> 0:41:12.400
<v Speaker 1>say it's uh, for some reason, schools are just too dangerous,

0:41:12.800 --> 0:41:16.400
<v Speaker 1>and this self driving car is not permitted to go

0:41:16.600 --> 0:41:19.720
<v Speaker 1>within um, you know some you know, so many blocks

0:41:19.719 --> 0:41:22.040
<v Speaker 1>of an active school, and so it calls in a

0:41:22.080 --> 0:41:25.680
<v Speaker 1>bomb threat on that school every day in order to

0:41:25.840 --> 0:41:27.480
<v Speaker 1>get the kids out so that it can actually go

0:41:27.520 --> 0:41:29.920
<v Speaker 1>by I don't know, something to that effect. Maybe, Well,

0:41:29.960 --> 0:41:33.160
<v Speaker 1>that reminds me of a funny observation that uh, not

0:41:33.200 --> 0:41:37.359
<v Speaker 1>that this is lawful activity, but uh, a funny observation

0:41:37.400 --> 0:41:41.200
<v Speaker 1>that the authors make towards their conclusion. They bring up

0:41:41.280 --> 0:41:48.320
<v Speaker 1>there are cases of of crashes with autonomous vehicles where

0:41:48.520 --> 0:41:52.960
<v Speaker 1>the autonomous vehicle didn't crash into someone the autonomous vehicle,

0:41:53.480 --> 0:41:57.759
<v Speaker 1>you could argue caused a crash, but somebody else ran

0:41:58.080 --> 0:42:03.000
<v Speaker 1>into the autonomous vehicle because the autonomous vehicle did something

0:42:03.040 --> 0:42:07.960
<v Speaker 1>that is legal and presumably safe, but unexpected. And examples

0:42:08.000 --> 0:42:11.360
<v Speaker 1>here would be driving the speed limit in certain areas

0:42:11.480 --> 0:42:14.920
<v Speaker 1>or coming to a complete stop at an intersection. And

0:42:14.960 --> 0:42:17.160
<v Speaker 1>this is another way that the authors are bringing up

0:42:17.160 --> 0:42:21.279
<v Speaker 1>the idea that UH, examining robot logic is really going

0:42:21.320 --> 0:42:23.239
<v Speaker 1>to have to cause us to re examine the way

0:42:23.320 --> 0:42:25.799
<v Speaker 1>humans interact with the law, because there are cases where

0:42:26.080 --> 0:42:30.800
<v Speaker 1>people cause problems that lead to harm by obeying the rules.

0:42:31.200 --> 0:42:33.120
<v Speaker 1>Oh yeah, Like I think of this all the time,

0:42:33.160 --> 0:42:36.200
<v Speaker 1>and imagine most people do when when driving for any

0:42:36.320 --> 0:42:39.840
<v Speaker 1>long distance. Because you have the speed limit as it's posted,

0:42:40.360 --> 0:42:45.840
<v Speaker 1>you have the speed that the majority of people are driving, um,

0:42:46.560 --> 0:42:48.720
<v Speaker 1>you know, you have that sort of ten mile over zone.

0:42:48.760 --> 0:42:51.280
<v Speaker 1>Then you have the people who are driving exceedingly fast.

0:42:51.560 --> 0:42:54.760
<v Speaker 1>Then you have that minimum speed limit that virtually nobody

0:42:54.840 --> 0:42:57.279
<v Speaker 1>is driving forty mile per hour on the interstate, but

0:42:57.719 --> 0:43:01.320
<v Speaker 1>it's posted. Uh, and therefore would be legal to drive

0:43:01.480 --> 0:43:04.040
<v Speaker 1>forty one per hour if you were a robot and

0:43:04.480 --> 0:43:07.040
<v Speaker 1>weren't in a particular hurry, and perhaps that's you know,

0:43:07.120 --> 0:43:10.879
<v Speaker 1>maximum efficiency for your travel. Uh yeah, there's so many,

0:43:11.320 --> 0:43:13.360
<v Speaker 1>so many things like that to think about. And I

0:43:13.680 --> 0:43:16.800
<v Speaker 1>think we're probably not even very good at at guessing

0:43:16.960 --> 0:43:20.279
<v Speaker 1>until we encounter them through robots. How many other situations

0:43:20.320 --> 0:43:24.000
<v Speaker 1>there are like this in the world where where you

0:43:24.040 --> 0:43:26.759
<v Speaker 1>can technically be within the bounds of the law, like

0:43:26.800 --> 0:43:29.480
<v Speaker 1>you're doing what by the book you're supposed to be doing,

0:43:29.480 --> 0:43:32.440
<v Speaker 1>but actually it's really dangerous to be doing it that way.

0:43:33.600 --> 0:43:36.040
<v Speaker 1>So how are you supposed to interrogate a robot state

0:43:36.040 --> 0:43:37.920
<v Speaker 1>of mind? And when it comes to stuff like that.

0:43:37.920 --> 0:43:40.440
<v Speaker 1>But so anyway, this leads to the author's talking about

0:43:40.560 --> 0:43:43.680
<v Speaker 1>the difficulties in in robots state of mind valuation, and

0:43:43.840 --> 0:43:47.120
<v Speaker 1>they say, quote, robots don't seem to be good targets

0:43:47.120 --> 0:43:49.800
<v Speaker 1>for rules based on moral blame or state of mind,

0:43:49.880 --> 0:43:52.440
<v Speaker 1>but they are good at data. So we might consider

0:43:52.520 --> 0:43:56.520
<v Speaker 1>a legal standard that bases liability on how safe the

0:43:56.600 --> 0:44:00.399
<v Speaker 1>robot is compared to others of its type. This would

0:44:00.440 --> 0:44:03.879
<v Speaker 1>be a sort of robotic reasonableness test that could take

0:44:03.880 --> 0:44:06.400
<v Speaker 1>the form of a carrot, such as a safe harbor

0:44:06.520 --> 0:44:10.440
<v Speaker 1>for self driving cars that are significantly safer than average

0:44:10.800 --> 0:44:14.480
<v Speaker 1>or significantly safer than human drivers, or we could use

0:44:14.480 --> 0:44:18.320
<v Speaker 1>a stick holding robots liable if they lagged behind their peers,

0:44:18.680 --> 0:44:21.360
<v Speaker 1>or even shutting down the worst ten percent of robots

0:44:21.360 --> 0:44:24.560
<v Speaker 1>in a category every year. So I'm not sure if

0:44:24.640 --> 0:44:26.720
<v Speaker 1>I agree with this, but this was an interesting idea

0:44:26.760 --> 0:44:30.720
<v Speaker 1>to me. So, instead of like trying to to interrogate

0:44:30.760 --> 0:44:35.760
<v Speaker 1>the underlying logic of a type of autonomous car, robot

0:44:35.920 --> 0:44:39.520
<v Speaker 1>or whatever, because it's so difficult to try to understand

0:44:39.560 --> 0:44:44.080
<v Speaker 1>the underlying logic, what if you just compare its outcomes

0:44:44.120 --> 0:44:48.520
<v Speaker 1>to other machines of the same genre as it, or

0:44:48.600 --> 0:44:51.040
<v Speaker 1>two humans. I mean, you can imagine this working better

0:44:51.080 --> 0:44:53.799
<v Speaker 1>in the case of something like autonomous cars then you can,

0:44:53.920 --> 0:44:56.840
<v Speaker 1>and you know other cases where the robot is essentially

0:44:56.880 --> 0:44:59.799
<v Speaker 1>introducing a sort of a new genre of agent into

0:44:59.800 --> 0:45:02.880
<v Speaker 1>the world. But autonomous cars are in many ways going

0:45:02.920 --> 0:45:07.240
<v Speaker 1>to be roughly equivalent in outcomes to human drivers in

0:45:07.239 --> 0:45:09.960
<v Speaker 1>in regular cars, and so would it make more sense

0:45:10.000 --> 0:45:15.000
<v Speaker 1>to try to understand the reasoning behind each autonomous vehicle's

0:45:15.080 --> 0:45:18.200
<v Speaker 1>decision making when it gets into an accident, or uh

0:45:18.280 --> 0:45:21.799
<v Speaker 1>to compare its behavior to I don't know, some kind

0:45:21.840 --> 0:45:25.759
<v Speaker 1>of aggregate or standard of human driving or other autonomous

0:45:25.880 --> 0:45:28.680
<v Speaker 1>vehicles or maybe we just we just tell it. Look,

0:45:28.840 --> 0:45:32.160
<v Speaker 1>most humans drive like selfish bastards, so just go do it,

0:45:32.320 --> 0:45:34.600
<v Speaker 1>do what you gotta do well. I mean, I would

0:45:34.600 --> 0:45:38.840
<v Speaker 1>say that there is a downside risk to not taking

0:45:38.840 --> 0:45:43.400
<v Speaker 1>this stuff seriously enough, which is uh, which is something

0:45:43.480 --> 0:45:46.920
<v Speaker 1>like that, I mean something like essentially letting robots go

0:45:47.120 --> 0:45:50.719
<v Speaker 1>hog wild because they can well be designed and not

0:45:50.760 --> 0:45:53.640
<v Speaker 1>saying that anybody would be you know, maliciously going wahaha

0:45:53.760 --> 0:45:56.520
<v Speaker 1>and rubbing their hands together while they make it this case.

0:45:56.600 --> 0:46:00.000
<v Speaker 1>But you know, you could imagine a situation where there

0:46:00.000 --> 0:46:03.200
<v Speaker 1>are more and more robots entering the world where the uh,

0:46:03.239 --> 0:46:08.160
<v Speaker 1>the corporate responsibility for them is so diffuse that nobody

0:46:08.160 --> 0:46:11.920
<v Speaker 1>can locate the one person who's responsible for the robots behavior,

0:46:12.120 --> 0:46:15.239
<v Speaker 1>and thus nobody ever really makes the robot, you know,

0:46:16.000 --> 0:46:18.799
<v Speaker 1>behave morally at all. So robots just sort of like

0:46:19.120 --> 0:46:23.400
<v Speaker 1>become a new class of superhuman psychopaths that are immune

0:46:23.480 --> 0:46:27.200
<v Speaker 1>from all consequences. In fact, I would say that is

0:46:27.239 --> 0:46:30.440
<v Speaker 1>a robot apocalypse scenario I've never seen before done in

0:46:30.480 --> 0:46:32.840
<v Speaker 1>a movie. It's always like when the robots are terrible

0:46:32.880 --> 0:46:35.640
<v Speaker 1>to us, it's always like organized, it's always like that,

0:46:35.800 --> 0:46:38.800
<v Speaker 1>you know, they Okay, they decide humans are a cancer

0:46:38.920 --> 0:46:40.879
<v Speaker 1>or something, and so they're going to wipe us out?

0:46:41.200 --> 0:46:44.680
<v Speaker 1>What if instead? It's the problem is just that robots,

0:46:44.719 --> 0:46:49.480
<v Speaker 1>sort of, by corporate negligence and distributed responsibility for their

0:46:49.520 --> 0:46:53.040
<v Speaker 1>behavior among humans, robots just end up being ultimately a

0:46:53.200 --> 0:46:56.800
<v Speaker 1>moral and we're flooded with these a moral critters running

0:46:56.800 --> 0:46:59.640
<v Speaker 1>around all over the place that are pretty smart and

0:46:59.680 --> 0:47:02.719
<v Speaker 1>really powerful. I guess there are You do see some

0:47:02.800 --> 0:47:07.800
<v Speaker 1>shades of this in um in some futuristic sci fi genres.

0:47:07.800 --> 0:47:11.360
<v Speaker 1>I'm particularly thinking of some of the models of cyberpunk genre,

0:47:11.520 --> 0:47:16.759
<v Speaker 1>where the the corporation model has been has been embraced

0:47:16.800 --> 0:47:21.760
<v Speaker 1>as the way of understanding the future of Aiyes, um,

0:47:21.800 --> 0:47:24.040
<v Speaker 1>but but yeah, I think I think for the most

0:47:24.080 --> 0:47:27.680
<v Speaker 1>part this this scenario hasn't been as explored as much.

0:47:27.760 --> 0:47:29.160
<v Speaker 1>We tend to We tend to want to go for

0:47:29.239 --> 0:47:32.799
<v Speaker 1>the evil overlord or the out of control kilbot rather

0:47:32.880 --> 0:47:36.560
<v Speaker 1>than this, right, yeah, you want you want an identifiable villain,

0:47:36.640 --> 0:47:39.440
<v Speaker 1>just like they do in the courts. But yeah, sometimes, uh,

0:47:39.719 --> 0:47:43.560
<v Speaker 1>sometimes corporations or manufacturers can be kind of slippery and

0:47:43.719 --> 0:47:53.000
<v Speaker 1>saying like whose thing is this? Than? So I was

0:47:53.000 --> 0:47:55.400
<v Speaker 1>thinking about all this, about the idea of you know,

0:47:55.440 --> 0:47:59.080
<v Speaker 1>particularly self driving cars being like the main example we

0:47:59.080 --> 0:48:02.040
<v Speaker 1>we ruminate on with this sort of thing. UM, I

0:48:02.120 --> 0:48:05.080
<v Speaker 1>decided to to look to the book Life three point

0:48:05.080 --> 0:48:08.840
<v Speaker 1>oh by Max teg Mark UM, which is a is

0:48:08.840 --> 0:48:10.719
<v Speaker 1>a really great book came out of a couple of

0:48:10.800 --> 0:48:15.160
<v Speaker 1>years back. And Max teg Mark is a Swedish American physicist, cosmologist,

0:48:15.160 --> 0:48:17.840
<v Speaker 1>and machine learning researcher. If you've been listening to the

0:48:17.880 --> 0:48:20.360
<v Speaker 1>show for a while, you might remember that I briefly

0:48:20.400 --> 0:48:22.919
<v Speaker 1>interviewed him, had like a mini interview with him at

0:48:22.960 --> 0:48:26.400
<v Speaker 1>the World Science Festival, UH several years back. Yeah, and

0:48:26.640 --> 0:48:29.560
<v Speaker 1>I know I've referenced his book Our Mathematical Universe in

0:48:29.640 --> 0:48:33.040
<v Speaker 1>previous episodes. Yeah, so so these are These are both

0:48:33.040 --> 0:48:35.520
<v Speaker 1>books intended for a wide audience, very very readable. UH.

0:48:36.239 --> 0:48:39.040
<v Speaker 1>Life three point oh does a does a fabulous job

0:48:39.080 --> 0:48:43.080
<v Speaker 1>of walking the reader through these various scenarios of UH

0:48:43.560 --> 0:48:45.960
<v Speaker 1>in many cases of of AI scendency and how it

0:48:46.000 --> 0:48:49.480
<v Speaker 1>could work. And he gets into this this topic of

0:48:49.840 --> 0:48:53.759
<v Speaker 1>UM of legality and UM and and AI and self

0:48:53.880 --> 0:48:56.840
<v Speaker 1>driving cars. Now, he does not make any allusions to

0:48:56.960 --> 0:48:59.919
<v Speaker 1>Johnny Cab until a recall, but I'm going to make

0:49:00.000 --> 0:49:02.080
<v Speaker 1>allusions to Johnny Cab in total recall is a way

0:49:02.120 --> 0:49:05.920
<v Speaker 1>of sort of putting a manic face on self driving cars.

0:49:06.280 --> 0:49:10.319
<v Speaker 1>How did I get here? The door opened, you got in,

0:49:11.880 --> 0:49:15.759
<v Speaker 1>It's sound reason. So, um, imagine that you're in a

0:49:15.800 --> 0:49:19.440
<v Speaker 1>self driving Johnny Cab and it recks. So the basic

0:49:19.520 --> 0:49:22.480
<v Speaker 1>question you might ask is are you responsible for this

0:49:22.560 --> 0:49:25.600
<v Speaker 1>wreck as the occupant? That seems ridiculous to think, so, right,

0:49:25.600 --> 0:49:29.000
<v Speaker 1>you weren't driving it, You just told it where to go. Um,

0:49:29.120 --> 0:49:31.880
<v Speaker 1>are the owners of the Johnny Cab responsible? Now this

0:49:31.920 --> 0:49:35.920
<v Speaker 1>seems more reasonable, right, but again it runs into a

0:49:35.920 --> 0:49:39.600
<v Speaker 1>lot of the problems we were just raising there. Yeah,

0:49:39.600 --> 0:49:41.839
<v Speaker 1>but tag Mark points out that there is this other

0:49:41.880 --> 0:49:46.279
<v Speaker 1>option and that American legal scholar David of Lattic has

0:49:46.320 --> 0:49:49.160
<v Speaker 1>pointed out that perhaps it is the Johnny Cab itself

0:49:49.160 --> 0:49:52.640
<v Speaker 1>that should be responsible. Now we've been already been discussing

0:49:52.719 --> 0:49:54.319
<v Speaker 1>a lot of this, like what does that mean? What

0:49:54.360 --> 0:49:56.520
<v Speaker 1>does it mean if a you have a Johnny Cab,

0:49:56.760 --> 0:50:00.239
<v Speaker 1>you have a self driving vehicle is responsible for wreck

0:50:00.360 --> 0:50:02.319
<v Speaker 1>than it is in what you know? How do we

0:50:02.360 --> 0:50:05.480
<v Speaker 1>even begin to make sense of that statement? Do you

0:50:05.800 --> 0:50:09.720
<v Speaker 1>take the damages out of the Johnny Cabs? Bank account. Well,

0:50:10.400 --> 0:50:12.200
<v Speaker 1>that's the thing. We we kind of end up getting

0:50:12.200 --> 0:50:16.040
<v Speaker 1>into that scenario because if the Johnny Cab has responsibilities

0:50:16.840 --> 0:50:19.600
<v Speaker 1>than than tech Mark writes, why not let it own

0:50:19.760 --> 0:50:22.880
<v Speaker 1>car insurance? Not only would this allow for it to

0:50:23.040 --> 0:50:26.920
<v Speaker 1>financially handle accidents, it would also potentially serve as a

0:50:26.960 --> 0:50:31.279
<v Speaker 1>design incentive and a purchasing incent incentive. So the the

0:50:31.360 --> 0:50:34.280
<v Speaker 1>idea here is the better self driving cars with better

0:50:34.360 --> 0:50:38.719
<v Speaker 1>records will qualify for lower premiums, and the less reliable

0:50:38.719 --> 0:50:41.239
<v Speaker 1>models will have to pay higher premiums. So if the

0:50:41.320 --> 0:50:45.600
<v Speaker 1>Johnny Cab runs into enough stuff and explodes enough, then

0:50:45.680 --> 0:50:48.279
<v Speaker 1>that brand of Johnny Cab simply won't be able to

0:50:48.320 --> 0:50:51.600
<v Speaker 1>take to the streets anymore. Oh this is interesting, okay,

0:50:51.640 --> 0:50:53.600
<v Speaker 1>So in order to mean this is very much the

0:50:53.600 --> 0:50:57.239
<v Speaker 1>economic model that we were discussing earlier. So when Schwarzenegger

0:50:57.280 --> 0:50:59.440
<v Speaker 1>hops in and Johnny Cab says, where would you like

0:50:59.480 --> 0:51:02.719
<v Speaker 1>to go? And he says, drive, just drive anywhere, and

0:51:02.800 --> 0:51:04.920
<v Speaker 1>he says, I don't know where that is. And so

0:51:05.200 --> 0:51:08.960
<v Speaker 1>so his incentive to not just like blindly plow forward

0:51:09.080 --> 0:51:11.520
<v Speaker 1>is how much would it cost if I ran into

0:51:11.560 --> 0:51:16.560
<v Speaker 1>something when I did that? Yeah? Exactly. But but Temark

0:51:16.640 --> 0:51:19.360
<v Speaker 1>points out that the implications of letting a self driving

0:51:19.360 --> 0:51:22.560
<v Speaker 1>car own car insurance it ultimately goes beyond this situation,

0:51:22.800 --> 0:51:25.520
<v Speaker 1>because how does the Johnny cab pay for its insurance

0:51:25.520 --> 0:51:30.240
<v Speaker 1>policy that, again it hypothetically owns in this scenario? Should

0:51:30.239 --> 0:51:32.759
<v Speaker 1>we let it own money in order to do this?

0:51:32.920 --> 0:51:34.920
<v Speaker 1>Does it have its own bank account like you alluded

0:51:34.960 --> 0:51:39.320
<v Speaker 1>to earlier, especially if it's operating as an independent contractor

0:51:39.360 --> 0:51:43.520
<v Speaker 1>of sorts, perhaps paying back certain percentages or fees to

0:51:43.600 --> 0:51:46.160
<v Speaker 1>a greater cab company, Like maybe that's how it would work.

0:51:46.520 --> 0:51:49.600
<v Speaker 1>And if it can own money, well, can it also

0:51:49.640 --> 0:51:52.800
<v Speaker 1>own property? Like perhaps at the very least it rents

0:51:52.800 --> 0:51:57.960
<v Speaker 1>garage space, Uh, but maybe it owns garage space for itself, um,

0:51:58.000 --> 0:52:00.640
<v Speaker 1>you know, or a maintenance facility or the tools that

0:52:00.719 --> 0:52:03.359
<v Speaker 1>work on it. Does it own those as well? Does

0:52:03.400 --> 0:52:06.319
<v Speaker 1>it own spare parts? Does it own the bottles of

0:52:06.360 --> 0:52:10.719
<v Speaker 1>water that go inside of itself for its customers? Does

0:52:10.760 --> 0:52:13.319
<v Speaker 1>it own the complementary wet towels for your head that

0:52:13.400 --> 0:52:17.799
<v Speaker 1>it keeps on hand? Yeah? Um, I mean, if nothing else,

0:52:17.840 --> 0:52:19.719
<v Speaker 1>it seems like if it owned things, like, the more

0:52:19.760 --> 0:52:23.120
<v Speaker 1>things it owns, the more things that you could potentially

0:52:23.680 --> 0:52:28.120
<v Speaker 1>um uh invoke a penalty upon through the legal system,

0:52:28.160 --> 0:52:31.400
<v Speaker 1>and if they can own money and property and again

0:52:32.200 --> 0:52:36.040
<v Speaker 1>potentially themselves. Then tech Mark takes it a step further.

0:52:36.160 --> 0:52:38.800
<v Speaker 1>He writes, if this is the case, quote, there's nothing

0:52:38.920 --> 0:52:42.560
<v Speaker 1>legally stopping smart computers from making money on the stock

0:52:42.600 --> 0:52:46.200
<v Speaker 1>market and using it to buy online services. Once the

0:52:46.200 --> 0:52:49.040
<v Speaker 1>computer starts paying humans to work for it, it can

0:52:49.040 --> 0:52:52.640
<v Speaker 1>accomplish anything that humans can do. I see. So you

0:52:52.719 --> 0:52:55.680
<v Speaker 1>might say that even if you're skeptical of an AI's

0:52:55.800 --> 0:52:59.400
<v Speaker 1>ability to have say the emotional and cultural intelligence to

0:53:00.160 --> 0:53:03.520
<v Speaker 1>uh to write a popular screenplay or you know, create

0:53:03.560 --> 0:53:06.399
<v Speaker 1>a popular movie, it just doesn't get humans well enough

0:53:06.440 --> 0:53:08.560
<v Speaker 1>to do that. It could, at least if it had

0:53:08.600 --> 0:53:12.640
<v Speaker 1>its own economic agency pay humans to do that, right,

0:53:12.800 --> 0:53:15.480
<v Speaker 1>right and um. Elsewhere in the book, tech Mark gets

0:53:15.480 --> 0:53:18.279
<v Speaker 1>into a lot of this, especially entertainment idea, presenting a

0:53:18.320 --> 0:53:22.320
<v Speaker 1>scenario by which machines like this could gain the entertainment

0:53:22.360 --> 0:53:25.880
<v Speaker 1>industry in order to to ascend to you know, extreme

0:53:25.960 --> 0:53:28.319
<v Speaker 1>financial power. A lot of it is just like sort

0:53:28.360 --> 0:53:31.879
<v Speaker 1>of playing the algorithms right, you know, like doing corporation

0:53:31.960 --> 0:53:36.600
<v Speaker 1>stuff and then hiring humans as necessary to to bring

0:53:36.640 --> 0:53:39.439
<v Speaker 1>that to fruition. You know, I mean, would this be

0:53:39.600 --> 0:53:41.839
<v Speaker 1>all that different from any of our like I don't know,

0:53:42.200 --> 0:53:47.799
<v Speaker 1>Disney or comic book studios or whatever exists today. Yeah, yeah, exactly. Um, so,

0:53:47.920 --> 0:53:49.719
<v Speaker 1>you know, we already know the sort of prowess that

0:53:49.840 --> 0:53:52.279
<v Speaker 1>computers have when it comes to the stock market. Tech

0:53:52.360 --> 0:53:55.000
<v Speaker 1>Mark you know, points out that, you know, you know what,

0:53:55.120 --> 0:53:57.640
<v Speaker 1>we have examples of this in the world already where

0:53:57.680 --> 0:53:59.960
<v Speaker 1>we're using AI, and he writes that it could lead

0:54:00.040 --> 0:54:03.120
<v Speaker 1>to a situation where most of the economy is owned

0:54:03.200 --> 0:54:06.279
<v Speaker 1>and controlled by machines. And this, he warns, is not

0:54:06.400 --> 0:54:08.560
<v Speaker 1>that crazy, considering that we already live in a world

0:54:08.640 --> 0:54:12.640
<v Speaker 1>where non human entities called corporations exert tremendous power and

0:54:12.719 --> 0:54:15.720
<v Speaker 1>hold tremendous wealth. I think there there is a large

0:54:15.719 --> 0:54:18.440
<v Speaker 1>amount of overlap between the concept of corporation and the

0:54:18.480 --> 0:54:22.000
<v Speaker 1>concept of an AI. Yeah and uh. And then there

0:54:22.040 --> 0:54:24.719
<v Speaker 1>are steps beyond this as well. If if machines can

0:54:24.760 --> 0:54:26.839
<v Speaker 1>do all of these things, So if they can, if

0:54:26.840 --> 0:54:30.040
<v Speaker 1>they can if a machine can own property, if it

0:54:30.040 --> 0:54:33.439
<v Speaker 1>can potentially own itself, if it can if it can

0:54:33.440 --> 0:54:35.800
<v Speaker 1>buy things, if it can invest in the stock market,

0:54:35.840 --> 0:54:39.040
<v Speaker 1>if it can accumulate financial power, if it can do

0:54:39.080 --> 0:54:41.759
<v Speaker 1>all these things then should they also get the right

0:54:41.800 --> 0:54:46.040
<v Speaker 1>to vote as well? You know, it's it's potentially paying taxes,

0:54:46.239 --> 0:54:48.560
<v Speaker 1>does it get to to vote in addition to that?

0:54:49.080 --> 0:54:52.680
<v Speaker 1>And then if not, why and what becomes the caveat

0:54:52.680 --> 0:54:55.279
<v Speaker 1>that determines the right to vote in this scenario? Now,

0:54:55.320 --> 0:54:58.000
<v Speaker 1>if I understand you, right, I think you're saying the

0:54:58.040 --> 0:55:01.200
<v Speaker 1>tech mark is is exploring these possibilities as stuff that

0:55:01.280 --> 0:55:04.920
<v Speaker 1>he thinks might not be as implausible as people would suspect,

0:55:05.040 --> 0:55:07.720
<v Speaker 1>rather than his stuff where he's like, here's my ideal world,

0:55:08.320 --> 0:55:11.120
<v Speaker 1>right right, He's saying like, look, you know this is

0:55:11.160 --> 0:55:13.759
<v Speaker 1>already where we are. We know what a I can do,

0:55:13.880 --> 0:55:16.680
<v Speaker 1>and we can easily extrapolate where it might go. These

0:55:16.719 --> 0:55:19.320
<v Speaker 1>are the scenarios we should, we should potentially be prepared

0:55:19.360 --> 0:55:22.520
<v Speaker 1>for in much the same way that nobody, nobody really

0:55:22.600 --> 0:55:25.680
<v Speaker 1>at an intuitive level, believes that a corporation is a

0:55:25.760 --> 0:55:29.239
<v Speaker 1>person like a like a human being as a person. Uh,

0:55:29.280 --> 0:55:31.800
<v Speaker 1>you know, it's at least done well enough at convincing

0:55:31.800 --> 0:55:34.239
<v Speaker 1>the courts that it is a person. So would you

0:55:34.280 --> 0:55:36.560
<v Speaker 1>not be able to expect the same coming out of

0:55:36.600 --> 0:55:40.560
<v Speaker 1>machines that were sophisticated enough, right, and convincing the court

0:55:40.719 --> 0:55:43.440
<v Speaker 1>is Uh. I'm glad you brought that up, because that's

0:55:43.480 --> 0:55:46.839
<v Speaker 1>that's another area that tech markets into. So what does

0:55:46.880 --> 0:55:51.759
<v Speaker 1>it mean when judges have to potentially judge Aiyes? Um?

0:55:52.000 --> 0:55:55.640
<v Speaker 1>Would these be specialized judges with technical knowledge and understanding

0:55:55.680 --> 0:55:58.960
<v Speaker 1>of the complex systems involved? Uh? You know? Or is

0:55:59.000 --> 0:56:01.240
<v Speaker 1>it going to be a human judge judging a machine

0:56:01.280 --> 0:56:04.439
<v Speaker 1>as if it were a human? Um? You know. Both

0:56:04.480 --> 0:56:07.800
<v Speaker 1>of these are possibilities. But then here's another idea that

0:56:07.880 --> 0:56:12.920
<v Speaker 1>tech marks discusses at length. What if we use robo judges? Um?

0:56:12.960 --> 0:56:15.760
<v Speaker 1>And this ultimately goes beyond the idea of using robo

0:56:15.840 --> 0:56:18.160
<v Speaker 1>judges to judge at the robots, but potentially using them

0:56:18.200 --> 0:56:22.240
<v Speaker 1>to judge humans as well. UM because while human judges

0:56:22.280 --> 0:56:25.080
<v Speaker 1>have limited ability to understand the technical knowledge of cases,

0:56:25.600 --> 0:56:28.920
<v Speaker 1>robo judges, tech Mark points out, would in theory have

0:56:29.280 --> 0:56:32.960
<v Speaker 1>unlimited learning and memory capacity. They could also be copied,

0:56:33.000 --> 0:56:35.040
<v Speaker 1>so there would be no staffing shortages you need to

0:56:35.160 --> 0:56:39.279
<v Speaker 1>judges today, We'll just copy and paste, right, uh and simplification.

0:56:39.360 --> 0:56:42.440
<v Speaker 1>But but you know, essentially, once you have one, you

0:56:42.480 --> 0:56:45.840
<v Speaker 1>can have many. Uh. This way justice could be cheaper

0:56:45.920 --> 0:56:48.960
<v Speaker 1>and just maybe a little more just by removing the

0:56:49.040 --> 0:56:52.719
<v Speaker 1>human equation, or at least so the machines would argue right,

0:56:53.520 --> 0:56:55.200
<v Speaker 1>But then the other the side of the thing is,

0:56:55.239 --> 0:57:00.080
<v Speaker 1>we've already discussed how human created AI is susceptible to

0:57:00.080 --> 0:57:03.640
<v Speaker 1>to bias. So we could potentially, you know, we could

0:57:03.640 --> 0:57:06.520
<v Speaker 1>create a robot judge, but if we're not not careful,

0:57:06.600 --> 0:57:08.560
<v Speaker 1>it could be bugged, it could be hacked, it could

0:57:08.560 --> 0:57:11.600
<v Speaker 1>be otherwise compromised where it just might have these various

0:57:11.600 --> 0:57:14.440
<v Speaker 1>biases that it is um that it is using when

0:57:14.480 --> 0:57:18.080
<v Speaker 1>it's judging humans or machines. And then you'd have to

0:57:18.120 --> 0:57:20.880
<v Speaker 1>have public trust in such a system as well, So

0:57:21.160 --> 0:57:22.800
<v Speaker 1>we run into a lot of the same problems we

0:57:22.880 --> 0:57:25.960
<v Speaker 1>run into when we're talking about trusting the machine to

0:57:26.040 --> 0:57:30.760
<v Speaker 1>drive us across town. Yeah, Like so if uh robot judge,

0:57:30.880 --> 0:57:33.960
<v Speaker 1>even if now I'm certainly not granting this because I

0:57:34.200 --> 0:57:36.400
<v Speaker 1>don't necessarily believe this was the case, but even if

0:57:36.440 --> 0:57:39.720
<v Speaker 1>it were true that a robot judge would be better

0:57:39.920 --> 0:57:42.640
<v Speaker 1>at judging cases than a human and like more fair

0:57:42.680 --> 0:57:45.480
<v Speaker 1>and more just, you could run into problems with public

0:57:45.520 --> 0:57:48.439
<v Speaker 1>trust and those kind of judges because, for example, they

0:57:48.480 --> 0:57:52.479
<v Speaker 1>make the calculations explicit, right, the same way we talked

0:57:52.480 --> 0:57:56.560
<v Speaker 1>about like placing a certain value on a human life. Uh,

0:57:56.600 --> 0:57:58.720
<v Speaker 1>it's something that we all sort of do, but we

0:57:58.800 --> 0:58:00.960
<v Speaker 1>don't like to think about it or acknowledge we do it.

0:58:00.960 --> 0:58:03.080
<v Speaker 1>We just do it at an intuitive level that's sort

0:58:03.120 --> 0:58:06.120
<v Speaker 1>of hidden in the dark recesses of the mind. And

0:58:06.120 --> 0:58:08.480
<v Speaker 1>and and don't think about it. A machine would have

0:58:08.560 --> 0:58:10.960
<v Speaker 1>to like put a number on that, and and for

0:58:11.080 --> 0:58:14.040
<v Speaker 1>public transparency reasons, that number would probably need to be

0:58:14.080 --> 0:58:18.360
<v Speaker 1>publicly accessible. Yeah, another area, and this is where this

0:58:18.440 --> 0:58:21.400
<v Speaker 1>is another topic and robotics that you know, we could

0:58:21.400 --> 0:58:25.240
<v Speaker 1>easily discuss at extreme length, but there's a robotic surgery

0:58:25.280 --> 0:58:27.959
<v Speaker 1>to consider. You know. While we continue to make great

0:58:28.000 --> 0:58:31.720
<v Speaker 1>strides and robotic surgery, and in some cases the robotic

0:58:31.800 --> 0:58:35.440
<v Speaker 1>surgery route is indisputably the safest route, there remains a

0:58:35.440 --> 0:58:40.760
<v Speaker 1>lot of discussion regarding UM. You know, how robot surgery is,

0:58:40.960 --> 0:58:44.960
<v Speaker 1>UM is progressing, where it's headed, and how malpractice potentially

0:58:45.080 --> 0:58:49.560
<v Speaker 1>factors into everything UM. Now to despite the advances that

0:58:49.560 --> 0:58:51.919
<v Speaker 1>we've seen, we're not quite at the medical droid level,

0:58:52.000 --> 0:58:55.880
<v Speaker 1>you know, like the autonomous UH surgical bot. But as

0:58:55.920 --> 0:58:58.200
<v Speaker 1>reported by Dennis Grady in the New York Times just

0:58:58.320 --> 0:59:02.280
<v Speaker 1>last year, AI coupled with new imaging techniques are already

0:59:02.320 --> 0:59:05.880
<v Speaker 1>showing promise as a means of diagnosing tumors as accurately

0:59:05.920 --> 0:59:10.439
<v Speaker 1>as human physicians, but at far greater speed. UM. So

0:59:10.960 --> 0:59:14.720
<v Speaker 1>it's interesting to UH to think about these advancements, but

0:59:14.760 --> 0:59:18.040
<v Speaker 1>at the same time realize that particularly in an AI,

0:59:18.200 --> 0:59:21.600
<v Speaker 1>we're talking more about AI, I mean, particularly an AI

0:59:21.680 --> 0:59:25.160
<v Speaker 1>and medicine. We're talking about AI assisted medicine or AI

0:59:25.240 --> 0:59:30.040
<v Speaker 1>assisted surgery. So the human AI relationship is in these

0:59:30.120 --> 0:59:33.880
<v Speaker 1>cases not one of replacement but of cooperation, at least

0:59:34.560 --> 0:59:37.960
<v Speaker 1>for the near term. Yeah, yeah, yeah, I see that,

0:59:38.000 --> 0:59:40.960
<v Speaker 1>because I mean, there are many reasons for that, but

0:59:41.040 --> 0:59:43.120
<v Speaker 1>one of the one of the reasons that strikes me

0:59:43.200 --> 0:59:46.520
<v Speaker 1>is it comes back to a perhaps sometimes irrational desire

0:59:46.680 --> 0:59:49.640
<v Speaker 1>to inflict punishment on a person who has done wrong,

0:59:49.720 --> 0:59:51.920
<v Speaker 1>even if it doesn't like help the person who has

0:59:51.960 --> 0:59:55.960
<v Speaker 1>been harmed in the first place. Um. There there are

0:59:55.960 --> 0:59:58.680
<v Speaker 1>certain just like intuitions we have, and I think one

0:59:58.720 --> 1:00:02.280
<v Speaker 1>of them is we we feel more confident if there

1:00:02.440 --> 1:00:06.440
<v Speaker 1>is somebody in the loop who would suffer from the

1:00:06.520 --> 1:00:09.880
<v Speaker 1>consequences of failure, you know, like the fit, Like it

1:00:09.960 --> 1:00:13.440
<v Speaker 1>doesn't just help that, Like oh no, I assure you

1:00:13.760 --> 1:00:17.360
<v Speaker 1>the surgical robot has you know, strong incentives within its

1:00:17.360 --> 1:00:20.560
<v Speaker 1>programming not to fail, not to botch the surgery and

1:00:20.560 --> 1:00:23.880
<v Speaker 1>take out your you know, remove one of your vital organs. Yeah,

1:00:23.960 --> 1:00:26.840
<v Speaker 1>Like on one level, on some level, we want that

1:00:26.920 --> 1:00:29.040
<v Speaker 1>person to know their career is on the line, or

1:00:29.080 --> 1:00:31.480
<v Speaker 1>the reputation is on the line. You know. I think

1:00:31.520 --> 1:00:36.160
<v Speaker 1>most people would feel better going under surgery with the

1:00:36.280 --> 1:00:40.240
<v Speaker 1>knowledge that if the surgeon were to do something bad

1:00:40.280 --> 1:00:42.000
<v Speaker 1>to you. It's not just enough to know that the

1:00:42.000 --> 1:00:44.560
<v Speaker 1>surgeon and surgeon is going to try really hard not

1:00:44.600 --> 1:00:47.440
<v Speaker 1>to do something bad to you. You also want the

1:00:47.520 --> 1:00:50.880
<v Speaker 1>like second order guarantee that, like, if the surgeon were

1:00:51.000 --> 1:00:53.000
<v Speaker 1>to screw up and take take out one of your

1:00:53.080 --> 1:00:56.560
<v Speaker 1>vital organs, something bad would happen to them and they

1:00:56.600 --> 1:01:00.320
<v Speaker 1>would suffer. But with a robot, they wouldn't suffer. It's

1:01:00.360 --> 1:01:04.080
<v Speaker 1>just like, oh, whoops. I wonder if we end up

1:01:04.080 --> 1:01:06.920
<v Speaker 1>reaching a point with this in this discussion where you know,

1:01:06.960 --> 1:01:10.240
<v Speaker 1>we're talking about robots hiring people, do we end up

1:01:10.240 --> 1:01:14.480
<v Speaker 1>in a in a position where Aiyes, higher humans not

1:01:14.600 --> 1:01:18.640
<v Speaker 1>so much because they need human um expertise or human

1:01:18.680 --> 1:01:22.919
<v Speaker 1>skills or human senses the ability to feel pain. Yeah,

1:01:22.960 --> 1:01:26.040
<v Speaker 1>and to be culpable, Like they need somebody that will,

1:01:26.160 --> 1:01:30.800
<v Speaker 1>like essentially aies hiring humans to be scapegoats in the

1:01:30.880 --> 1:01:34.200
<v Speaker 1>system or in their in the in the in their

1:01:34.240 --> 1:01:38.280
<v Speaker 1>particular job. Uh So they're like, yeah, we need a

1:01:38.320 --> 1:01:39.959
<v Speaker 1>human in the loop. Not because I need a human

1:01:40.000 --> 1:01:42.000
<v Speaker 1>in the loop. I can do this by myself, but

1:01:42.080 --> 1:01:44.880
<v Speaker 1>if something goes wrong, if you know, then there's always

1:01:44.880 --> 1:01:47.360
<v Speaker 1>a certain chance that something will happen, I need a

1:01:47.480 --> 1:01:50.600
<v Speaker 1>human there that will bear the blame. Every robot essentially

1:01:50.680 --> 1:01:54.040
<v Speaker 1>needs a human co pilot, even in cases where robots

1:01:54.880 --> 1:01:58.720
<v Speaker 1>far outperformed the humans, just because the human copilot has

1:01:58.760 --> 1:02:03.160
<v Speaker 1>to be there to ex upt responsibility for failure. Oh yeah.

1:02:03.200 --> 1:02:05.120
<v Speaker 1>In the first episode, we talked about the idea of

1:02:05.120 --> 1:02:09.240
<v Speaker 1>there being like a punchable um plate on a robot

1:02:09.720 --> 1:02:11.840
<v Speaker 1>um for when it for when we feel like we

1:02:11.880 --> 1:02:14.120
<v Speaker 1>need to punish it. It's like that, except instead of

1:02:14.160 --> 1:02:16.360
<v Speaker 1>a specialized plate on the robot itself, it's just a

1:02:16.400 --> 1:02:21.040
<v Speaker 1>person that the robot hired. A whipping boy. Oh this

1:02:21.120 --> 1:02:26.000
<v Speaker 1>is so horrible and and so perversely plausible. I can

1:02:26.080 --> 1:02:29.000
<v Speaker 1>I can kind of see it. It's like in my lifetime,

1:02:29.040 --> 1:02:33.960
<v Speaker 1>I can see it. Well, thanks for the nightmares, Robin, Well, no,

1:02:34.080 --> 1:02:36.360
<v Speaker 1>I think we've had plenty of potential nightmares discussed here.

1:02:36.400 --> 1:02:38.160
<v Speaker 1>But I mean we shouldn't just focus on the nightmares.

1:02:38.200 --> 1:02:41.960
<v Speaker 1>I mean, again, to be clear, Um, you know, so

1:02:42.040 --> 1:02:44.400
<v Speaker 1>the idea of self driving cars, the idea of robot

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<v Speaker 1>assisted surgery. I mean, we're ultimately talking about the aim

1:02:48.640 --> 1:02:53.480
<v Speaker 1>of of of creating safer practices of saving him and live. So, uh,

1:02:53.520 --> 1:02:56.479
<v Speaker 1>you know, it's all it's not all nightmares and um

1:02:56.720 --> 1:03:00.280
<v Speaker 1>robot health scapes. But we have to be realist stick

1:03:00.360 --> 1:03:06.400
<v Speaker 1>about the very complex UM scenarios and casks that we're

1:03:06.400 --> 1:03:10.040
<v Speaker 1>building things around and unleashing machine intelligence upon. Yeah, I

1:03:10.080 --> 1:03:13.000
<v Speaker 1>mean I made this clear in uh in the previous episode.

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<v Speaker 1>I'm not like down on things like autonomous vehicles. I mean, ultimately,

1:03:16.440 --> 1:03:20.240
<v Speaker 1>I think autonomous vehicles are probably a good thing. Um,

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<v Speaker 1>but I do think it's really important for people to

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<v Speaker 1>start paying attention to these, uh, these unbelievably complicated philosophical, moral,

1:03:29.920 --> 1:03:34.760
<v Speaker 1>and legal questions that will inevitably arise as more independent

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<v Speaker 1>and intelligent agents in filth radar our world. All right, Well,

1:03:38.680 --> 1:03:40.520
<v Speaker 1>on that note, we're gonna go and close it out.

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<v Speaker 1>But if you would like to listen to other episodes

1:03:43.640 --> 1:03:46.040
<v Speaker 1>of Stuff to Blow Your Mind, you know where to

1:03:46.120 --> 1:03:48.960
<v Speaker 1>find them. You can find our core episodes on Tuesdays

1:03:48.960 --> 1:03:52.120
<v Speaker 1>and Thursdays in the Stuff to Blow Your Mind podcast feed.

1:03:52.760 --> 1:03:55.840
<v Speaker 1>On Monday's we tend to do listener mail, on Wednesdays

1:03:56.200 --> 1:03:59.280
<v Speaker 1>we tend to bust out an artifact shorty episode, and

1:03:59.280 --> 1:04:01.280
<v Speaker 1>on Fridays we do a little weird house cinema where

1:04:01.320 --> 1:04:03.080
<v Speaker 1>we don't wantly talk about science so much as we

1:04:03.200 --> 1:04:06.200
<v Speaker 1>just talked about one weird movie or another, and then

1:04:06.240 --> 1:04:08.800
<v Speaker 1>we have a little rerun on the weekend. Huge thanks

1:04:08.840 --> 1:04:12.360
<v Speaker 1>as always to our excellent audio producer Seth Nicholas Johnson.

1:04:12.720 --> 1:04:14.360
<v Speaker 1>If you would like to get in touch with us

1:04:14.360 --> 1:04:17.000
<v Speaker 1>with feedback on this episode or any other, to suggest

1:04:17.000 --> 1:04:19.080
<v Speaker 1>a topic for the future, or just to say hello,

1:04:19.440 --> 1:04:22.120
<v Speaker 1>you can email us at contact at stuff to Blow

1:04:22.160 --> 1:04:32.080
<v Speaker 1>your Mind dot com. Stuff to Blow Your Mind is

1:04:32.120 --> 1:04:34.800
<v Speaker 1>production of I Heart Radio. For more podcasts for my

1:04:34.840 --> 1:04:37.920
<v Speaker 1>Heart Radio, visit the iHeart Radio app, Apple Podcasts, or

1:04:37.920 --> 1:04:48.360
<v Speaker 1>wherever you're listening to your favorite shows.