WEBVTT - Three Approaches to AI Policy

0:00:04.240 --> 0:00:07.240
<v Speaker 1>Welcome to tech Stuff, a production of I Heart Radios,

0:00:07.320 --> 0:00:14.000
<v Speaker 1>How Stuff Works. Hey there, and welcome to tech Stuff.

0:00:14.040 --> 0:00:16.720
<v Speaker 1>I'm your host, Jonathan Strickland. I'm an executive producer with

0:00:16.760 --> 0:00:18.560
<v Speaker 1>How Stuff Works and I Heart Radio and I Love

0:00:18.640 --> 0:00:22.680
<v Speaker 1>all Things Tech. And Oz and Kara from Sleepwalkers have

0:00:23.160 --> 0:00:25.799
<v Speaker 1>come back to join me yet again. Spoiler alert. We

0:00:25.840 --> 0:00:28.000
<v Speaker 1>actually haven't left anywhere. We just sat here the whole

0:00:28.040 --> 0:00:30.319
<v Speaker 1>time and we're recording two episodes back to back. But

0:00:30.680 --> 0:00:33.839
<v Speaker 1>if you haven't heard our previous discussion, which is kind

0:00:33.840 --> 0:00:37.199
<v Speaker 1>of a high level discussion about AI and the potential

0:00:37.280 --> 0:00:41.000
<v Speaker 1>dangers and sort of the the various messaging we've received

0:00:41.000 --> 0:00:43.879
<v Speaker 1>about AI and the warning signs and the promises, you

0:00:43.880 --> 0:00:46.680
<v Speaker 1>should listen to that episode first. If you haven't subscribed

0:00:46.720 --> 0:00:49.839
<v Speaker 1>to Sleepwalkers, you should absolutely do that too, because the

0:00:49.840 --> 0:00:53.200
<v Speaker 1>show is amazing. And today we're gonna talk a little

0:00:53.200 --> 0:00:56.800
<v Speaker 1>bit more about how different parts of the world are

0:00:56.840 --> 0:01:01.200
<v Speaker 1>treating AI, whether it's from a government perfective or a

0:01:01.240 --> 0:01:06.280
<v Speaker 1>business perspective, The technological you know, development of AI, where

0:01:06.360 --> 0:01:10.760
<v Speaker 1>is that actually happening the fastest, And the answer to

0:01:10.800 --> 0:01:14.600
<v Speaker 1>that might surprise you if you haven't been paying close

0:01:14.640 --> 0:01:18.280
<v Speaker 1>attention to news around the world and we're going to

0:01:18.400 --> 0:01:21.640
<v Speaker 1>dive into all of that. So, without any further Ado,

0:01:22.080 --> 0:01:25.280
<v Speaker 1>welcome back to the show, Os and Kara, Thank you

0:01:25.319 --> 0:01:29.640
<v Speaker 1>so much. Jonathan, Hi Jonathan again. Hi again. Yea. And

0:01:30.080 --> 0:01:33.200
<v Speaker 1>while we were between shows, we were just you know,

0:01:33.840 --> 0:01:37.319
<v Speaker 1>talking about Lady Gaga and Shakespeare as you are want

0:01:37.400 --> 0:01:40.360
<v Speaker 1>to do. Uh, this is kind of what we technologists

0:01:40.440 --> 0:01:44.039
<v Speaker 1>technology podcasters tend to to really, you know, kind of

0:01:44.080 --> 0:01:47.080
<v Speaker 1>revel in when we're not on on Mike or at

0:01:47.120 --> 0:01:51.200
<v Speaker 1>least not recording. But I wanted to talk first about

0:01:52.400 --> 0:01:59.880
<v Speaker 1>where do we see really aggressive you know, moving forward

0:02:00.040 --> 0:02:02.720
<v Speaker 1>on on technology and AI, Like, where are we seeing

0:02:02.720 --> 0:02:07.960
<v Speaker 1>the most development in AI? Because a lot of people

0:02:08.000 --> 0:02:10.560
<v Speaker 1>think of Silicon Valley as sort of the place like

0:02:10.639 --> 0:02:15.280
<v Speaker 1>it's it's the breeding ground for all technologies. But as

0:02:15.320 --> 0:02:18.200
<v Speaker 1>it turns out, that's that's really a very narrow view,

0:02:18.960 --> 0:02:24.680
<v Speaker 1>and it it's ignoring a giant superpower that is pouring

0:02:24.720 --> 0:02:33.399
<v Speaker 1>a lot of resources into AI development. Right China. Yeah, sorry,

0:02:33.440 --> 0:02:37.400
<v Speaker 1>that China is is um is leading the charge on AI.

0:02:37.480 --> 0:02:39.720
<v Speaker 1>And one of the guests we had on the show

0:02:39.880 --> 0:02:44.280
<v Speaker 1>on Sleepwalkers is a guy called Kaifu Lee who was

0:02:44.320 --> 0:02:47.160
<v Speaker 1>part of the team at Apple that developed the technology

0:02:47.280 --> 0:02:50.920
<v Speaker 1>behind SyRI in the nineties, went on to run Google

0:02:51.040 --> 0:02:54.320
<v Speaker 1>China and is now one of the biggest technology investors

0:02:54.320 --> 0:02:57.600
<v Speaker 1>in China through a fund called Signivation Ventures, which is

0:02:57.600 --> 0:03:01.920
<v Speaker 1>about all sorts of different technology ventures in China, including

0:03:01.960 --> 0:03:04.720
<v Speaker 1>several unicorns a billion dollar companies, one of which is

0:03:05.080 --> 0:03:08.400
<v Speaker 1>called meg v which does facial recognition technology. Kai Fu

0:03:08.480 --> 0:03:13.200
<v Speaker 1>Lee recently wrote a book called AI Superpowers, China, Silicon

0:03:13.280 --> 0:03:16.480
<v Speaker 1>Valley and the New World Order. New World Order is

0:03:16.560 --> 0:03:20.239
<v Speaker 1>quite a resonant phrase, shall we say, But the thesis

0:03:20.320 --> 0:03:23.200
<v Speaker 1>of the book is simply that China are doing AI

0:03:23.360 --> 0:03:26.040
<v Speaker 1>a lot better, a lot more aggressively, and with a

0:03:26.080 --> 0:03:29.520
<v Speaker 1>lot more promise than we are in the US. And

0:03:29.560 --> 0:03:33.520
<v Speaker 1>that's for two reasons. Number one, China, unlike the US,

0:03:33.760 --> 0:03:40.080
<v Speaker 1>is a centralized country, a centralized government who have said absolutely,

0:03:40.480 --> 0:03:44.600
<v Speaker 1>with no hesitation, AI is our biggest priority. In seventeen,

0:03:44.640 --> 0:03:47.839
<v Speaker 1>the Communist Party released what they called the New Generation

0:03:48.080 --> 0:03:52.960
<v Speaker 1>Artificial Intelligence Development Plan, and the first paragraph read AI

0:03:53.040 --> 0:03:57.000
<v Speaker 1>has become a new focus of international competition. AI is

0:03:57.000 --> 0:04:00.280
<v Speaker 1>a strategic technology that will lead the future. The was

0:04:00.400 --> 0:04:03.320
<v Speaker 1>major developed countries are taking the development of AI as

0:04:03.320 --> 0:04:09.640
<v Speaker 1>a major strategy to enhance national competitiveness and protect national security.

0:04:09.720 --> 0:04:11.840
<v Speaker 1>So China have been on this for two years, I

0:04:11.880 --> 0:04:14.360
<v Speaker 1>mean for longer than two years, but they're taking immensity

0:04:14.440 --> 0:04:18.279
<v Speaker 1>seriously and we're not. We did have our own presidential

0:04:18.320 --> 0:04:20.880
<v Speaker 1>executive order in April of this year, but it didn't

0:04:20.880 --> 0:04:23.600
<v Speaker 1>come with any funding a kaifu. Second point, which I'm

0:04:23.600 --> 0:04:25.720
<v Speaker 1>sure we'll get onto, is that the China also have

0:04:25.760 --> 0:04:28.880
<v Speaker 1>a much richer data set, which is the power behind

0:04:28.920 --> 0:04:33.040
<v Speaker 1>the throne of AI. Yeah, something that I think a

0:04:33.360 --> 0:04:37.280
<v Speaker 1>lot of Americans in particular aren't aware of is that

0:04:38.000 --> 0:04:41.320
<v Speaker 1>when you look over at China and China's efforts to

0:04:42.160 --> 0:04:45.680
<v Speaker 1>to own AI essentially, I mean there there's they're saying,

0:04:46.279 --> 0:04:51.440
<v Speaker 1>we are going to be established as the the primary

0:04:52.200 --> 0:04:55.760
<v Speaker 1>source of AI development by twenty thirty and they're they're

0:04:55.760 --> 0:04:58.919
<v Speaker 1>well on their way to doing that already. Um. You

0:04:58.960 --> 0:05:02.239
<v Speaker 1>look at the the B A T that's the three

0:05:02.400 --> 0:05:05.599
<v Speaker 1>big companies that collectively are valued at more than a

0:05:05.640 --> 0:05:09.479
<v Speaker 1>trillion dollars, bay Do, Ali, Baba and ten Cent, and

0:05:10.200 --> 0:05:15.560
<v Speaker 1>those are already enormous corporations that have deep ties to

0:05:16.440 --> 0:05:19.920
<v Speaker 1>the state government of China than that are working very

0:05:19.920 --> 0:05:22.440
<v Speaker 1>hard in AI. But beyond that, even though you know,

0:05:22.480 --> 0:05:24.680
<v Speaker 1>you might think, well, those are maybe three big companies,

0:05:24.680 --> 0:05:28.440
<v Speaker 1>but how is that that that big of a of

0:05:28.120 --> 0:05:30.800
<v Speaker 1>a of a you know, a force on its own.

0:05:31.560 --> 0:05:37.920
<v Speaker 1>They also invest heavily in lots of startup companies, including unicorns. Uh.

0:05:37.960 --> 0:05:42.480
<v Speaker 1>They in fact, they out of the six hundred billion

0:05:42.560 --> 0:05:45.440
<v Speaker 1>dollars of unicorns out of China from a couple of

0:05:45.520 --> 0:05:49.680
<v Speaker 1>years ago, they made up fifty percent of the investment

0:05:49.800 --> 0:05:54.080
<v Speaker 1>into those companies. Then beyond that, they're investing in companies

0:05:54.279 --> 0:05:56.719
<v Speaker 1>outside of China and in other parts of the world,

0:05:56.760 --> 0:06:00.400
<v Speaker 1>including the United States. Uh. Ten Cent, for example, has

0:06:00.480 --> 0:06:05.960
<v Speaker 1>been investing heavily in video games over in the West Coast,

0:06:06.800 --> 0:06:10.560
<v Speaker 1>I'm along with lots of other different companies out there.

0:06:10.680 --> 0:06:15.760
<v Speaker 1>So not only are you talking about a country that

0:06:15.839 --> 0:06:19.840
<v Speaker 1>has an enormous population and therefore an enormous source of

0:06:19.880 --> 0:06:24.279
<v Speaker 1>information on its own, it has spread out around the globe,

0:06:24.360 --> 0:06:29.600
<v Speaker 1>so it's gathering information from everywhere. So it's it's really

0:06:29.880 --> 0:06:34.520
<v Speaker 1>this incredibly pervasive system to gather the fuel that is

0:06:34.560 --> 0:06:38.680
<v Speaker 1>going to power artificial intelligence. Uh. And meanwhile, you also

0:06:38.800 --> 0:06:45.480
<v Speaker 1>have very smart people running very sophisticated laboratories working on

0:06:45.520 --> 0:06:49.120
<v Speaker 1>the next generation of of algorithms and applications of AI.

0:06:49.240 --> 0:06:52.520
<v Speaker 1>So you've got like the perfect storm over there. Yeah. Absolutely.

0:06:52.600 --> 0:06:55.120
<v Speaker 1>And I also think, I mean, just in terms of

0:06:55.200 --> 0:06:57.880
<v Speaker 1>what you're talking about, you know, Tencent being involved in

0:06:57.960 --> 0:07:01.240
<v Speaker 1>Fortnite if I'm correct, Yes, yeah, I was just doing

0:07:01.520 --> 0:07:04.400
<v Speaker 1>was doing the floss right over here. Actually, that's right.

0:07:05.080 --> 0:07:09.840
<v Speaker 1>And also the ownership of a little known dating app

0:07:09.880 --> 0:07:13.520
<v Speaker 1>called grinder Um, which the US is actually trying to

0:07:14.280 --> 0:07:18.200
<v Speaker 1>get back just because of the national security threat that

0:07:18.320 --> 0:07:24.119
<v Speaker 1>is involved in the Chinese owning uh so much user

0:07:24.200 --> 0:07:30.360
<v Speaker 1>data from United States citizens, including U S military personnel. Um.

0:07:30.840 --> 0:07:37.640
<v Speaker 1>I think I think what's alarming about this is that

0:07:37.960 --> 0:07:42.600
<v Speaker 1>we is that we're sort of entering into this new

0:07:42.680 --> 0:07:49.600
<v Speaker 1>territory of you know, war and competition and war being

0:07:49.680 --> 0:07:53.280
<v Speaker 1>less about you know, guns and bombs and more. And

0:07:53.520 --> 0:07:56.080
<v Speaker 1>this is not these are not my words I've read this,

0:07:57.120 --> 0:08:00.760
<v Speaker 1>but more about you know, bits and bites, so to speak.

0:08:00.840 --> 0:08:03.480
<v Speaker 1>I think you read that from Secret Ar State Mike Pompeo.

0:08:03.560 --> 0:08:07.480
<v Speaker 1>That's right, I'm quoting Mike Pompeio. Happily, I think, um,

0:08:07.640 --> 0:08:11.000
<v Speaker 1>which actually he said in regards to Huawei, which is

0:08:11.120 --> 0:08:14.520
<v Speaker 1>obviously in the news quite a bit recently. Um, you know.

0:08:14.600 --> 0:08:18.880
<v Speaker 1>I think that the there's there's the technology race, which is,

0:08:18.920 --> 0:08:22.680
<v Speaker 1>you know, sort of who's going to have who's going

0:08:22.720 --> 0:08:26.960
<v Speaker 1>to advance quickly and in the best way. But it's

0:08:27.000 --> 0:08:31.840
<v Speaker 1>also about sort of who owns data and who has

0:08:31.920 --> 0:08:35.199
<v Speaker 1>access to what data. I think the China, the Chinese

0:08:35.200 --> 0:08:39.960
<v Speaker 1>government does not really have a problem uh spying on

0:08:40.000 --> 0:08:42.720
<v Speaker 1>its citizens. I don't even think we'd call it spying necessarily.

0:08:42.760 --> 0:08:46.040
<v Speaker 1>I think it's sweeping, um is what is what they

0:08:46.080 --> 0:08:49.920
<v Speaker 1>tend to do, and um with that data can make

0:08:50.000 --> 0:08:55.400
<v Speaker 1>some pretty uh you know, chilling accusations about people who

0:08:55.600 --> 0:08:59.520
<v Speaker 1>they think are dissenting against the government. Um. You know,

0:08:59.559 --> 0:09:03.520
<v Speaker 1>in the United States, we are very free with the

0:09:03.600 --> 0:09:05.800
<v Speaker 1>data we give away because I don't think enough people

0:09:05.840 --> 0:09:08.360
<v Speaker 1>think about how much data they're giving away in any

0:09:08.400 --> 0:09:13.839
<v Speaker 1>given day. But the US government hopefully will remain so

0:09:14.080 --> 0:09:19.880
<v Speaker 1>is not as what's the word pervasive, pervasive and aggressive

0:09:19.920 --> 0:09:24.320
<v Speaker 1>about collecting said data and using it to um, you know,

0:09:24.400 --> 0:09:28.839
<v Speaker 1>in prison there citizens. So I don't know, I think

0:09:29.200 --> 0:09:31.560
<v Speaker 1>China can kind of get away with more and maybe

0:09:31.559 --> 0:09:35.520
<v Speaker 1>that's why the Chinese government is allowing Chinese businesses to

0:09:35.520 --> 0:09:38.600
<v Speaker 1>get away with more than the US government. Ill saying

0:09:38.600 --> 0:09:40.720
<v Speaker 1>it's worth pointing out in the US, you know, we

0:09:40.760 --> 0:09:44.280
<v Speaker 1>have this phenomenous surveillance capitalism, So there's a bunch of

0:09:44.280 --> 0:09:46.880
<v Speaker 1>big firms who take all the data we give them,

0:09:47.400 --> 0:09:50.400
<v Speaker 1>use it to model us, make predictions about us, and

0:09:50.480 --> 0:09:55.040
<v Speaker 1>sell us more stuff. In China, it's surveillance statecraft, and

0:09:55.960 --> 0:10:00.360
<v Speaker 1>the data is not siloed between Amazon, Google, face Book

0:10:00.600 --> 0:10:02.920
<v Speaker 1>and others. UM. It's tends to be in the hands

0:10:02.920 --> 0:10:05.960
<v Speaker 1>of the big technology companies in China, you know who,

0:10:06.120 --> 0:10:09.280
<v Speaker 1>given that they're not fully state owned, but much more

0:10:09.320 --> 0:10:11.760
<v Speaker 1>hand in pocket with the government than our technology companies

0:10:11.800 --> 0:10:15.400
<v Speaker 1>are share their collected data much more widely, which allows

0:10:15.400 --> 0:10:18.920
<v Speaker 1>them to make better predictions about what might happen and

0:10:19.400 --> 0:10:22.679
<v Speaker 1>be determinative about the outcome of their citizens. I do

0:10:22.800 --> 0:10:25.240
<v Speaker 1>think it's worth pointing out a lot of this conversation

0:10:25.320 --> 0:10:27.880
<v Speaker 1>about the difference between AI in China and the United

0:10:27.920 --> 0:10:30.920
<v Speaker 1>States that we have on this side of the Pacific

0:10:31.480 --> 0:10:38.040
<v Speaker 1>um is filtered through our liberal individual worldview, which states

0:10:38.200 --> 0:10:42.360
<v Speaker 1>that you know, free will, the ability to control one's

0:10:42.400 --> 0:10:46.200
<v Speaker 1>own outcomes, um, the you know, the the recognition of

0:10:46.200 --> 0:10:50.040
<v Speaker 1>oneself as an individual are the utmost goods, and that

0:10:50.120 --> 0:10:53.840
<v Speaker 1>worldview simply isn't shared throughout most of China. Now you

0:10:53.880 --> 0:10:56.760
<v Speaker 1>can say that's that will change, you know, society opens up.

0:10:57.000 --> 0:10:59.360
<v Speaker 1>You can say there's an inevitable progress, if you want

0:10:59.400 --> 0:11:01.640
<v Speaker 1>to call it, program us towards our worldview. But the

0:11:01.640 --> 0:11:04.040
<v Speaker 1>fact is that isn't the world view in China. And

0:11:04.160 --> 0:11:08.000
<v Speaker 1>many Chinese citizens are used to living in one on

0:11:08.000 --> 0:11:12.480
<v Speaker 1>one party states since um, since mal z Dong or

0:11:12.480 --> 0:11:15.000
<v Speaker 1>where it was in the nineteen forties, and so there's

0:11:15.000 --> 0:11:16.600
<v Speaker 1>a there's a there's a there's a sense of being

0:11:16.600 --> 0:11:22.840
<v Speaker 1>accustomed to the belief that harmony and the furthering of

0:11:22.960 --> 0:11:27.520
<v Speaker 1>the state's goals rise um rising is a rising tide

0:11:27.520 --> 0:11:31.240
<v Speaker 1>which raises all boats. And so you know, I think

0:11:31.240 --> 0:11:33.360
<v Speaker 1>we have this desire to see and of course it

0:11:33.400 --> 0:11:36.120
<v Speaker 1>has happened in China. There's been Channeman's Square, you know.

0:11:36.120 --> 0:11:38.600
<v Speaker 1>There there there have been organic protest movements. But we

0:11:38.679 --> 0:11:43.079
<v Speaker 1>do have the desire to impose our absolute belief in

0:11:43.120 --> 0:11:45.520
<v Speaker 1>the importance of the individual and free will on the

0:11:45.559 --> 0:11:48.120
<v Speaker 1>rest of the world. And you know, I'm not sure

0:11:48.280 --> 0:11:51.120
<v Speaker 1>that if you ask the average Chinese citizen, you know,

0:11:51.360 --> 0:11:56.080
<v Speaker 1>do you resent being surveiled when the most highest number

0:11:56.120 --> 0:11:58.360
<v Speaker 1>of people have been lifted out of poverty in the

0:11:58.360 --> 0:12:01.719
<v Speaker 1>fastest time of any country tree in history. I think

0:12:01.720 --> 0:12:04.680
<v Speaker 1>the answer might be, you know, perhaps we prefer more freedoms,

0:12:04.720 --> 0:12:08.200
<v Speaker 1>but this isn't the worst thing in the world. Also,

0:12:08.360 --> 0:12:12.080
<v Speaker 1>China is an ethnically largely ethnically homogeneous society. So for that,

0:12:12.160 --> 0:12:15.760
<v Speaker 1>for the average Han Chinese, that the trade off for this,

0:12:15.760 --> 0:12:19.880
<v Speaker 1>this lifting out of poverty and the national pride which

0:12:19.920 --> 0:12:22.800
<v Speaker 1>is which is absolutely on the rise in China, giving

0:12:22.800 --> 0:12:25.160
<v Speaker 1>a much stronger sense of national identity, I would argue

0:12:25.160 --> 0:12:27.240
<v Speaker 1>than we have here, the tradeoff may be worth it.

0:12:27.600 --> 0:12:31.680
<v Speaker 1>What's very chilling, Beyond chilling is the treatment of the

0:12:31.760 --> 0:12:35.120
<v Speaker 1>non Han Chinese in China, the tibet the Tibetans, and

0:12:35.200 --> 0:12:39.360
<v Speaker 1>specifically the Weakers, who are really the people who experienced

0:12:39.400 --> 0:12:43.040
<v Speaker 1>the hard end of this surveillance state in China. Hey, guys,

0:12:43.040 --> 0:12:46.280
<v Speaker 1>it's Jonathan from the future. I'm just popping into interrupt

0:12:46.400 --> 0:12:49.360
<v Speaker 1>here because as it turned out, we got so into

0:12:49.360 --> 0:12:52.600
<v Speaker 1>this conversation I totally forgot to put in a break.

0:12:53.080 --> 0:12:56.760
<v Speaker 1>So let's take a quick break even while Jonathan in

0:12:56.800 --> 0:12:59.800
<v Speaker 1>the past and ours and Kara continue their conversation. We'll

0:12:59.800 --> 0:13:09.880
<v Speaker 1>get back to that in just a second, Hey, guys,

0:13:10.040 --> 0:13:12.199
<v Speaker 1>Jonathan from the future. Again, we're going to get right

0:13:12.200 --> 0:13:15.680
<v Speaker 1>back into the episode. Oz was just talking about China

0:13:15.920 --> 0:13:19.680
<v Speaker 1>and it's use of technology and the creation of a

0:13:19.720 --> 0:13:24.160
<v Speaker 1>surveillance state, and we're gonna pick up with my response. Yeah,

0:13:24.200 --> 0:13:26.360
<v Speaker 1>and as we mentioned in the last episode, you know,

0:13:26.360 --> 0:13:29.240
<v Speaker 1>we were talking about about bias and how that can

0:13:30.160 --> 0:13:33.800
<v Speaker 1>be unintentionally inserted into a system and how that can

0:13:33.840 --> 0:13:37.800
<v Speaker 1>cause harm. But you could also intentionally create a biased

0:13:37.880 --> 0:13:43.559
<v Speaker 1>system specifically in order to keep tabs on particular populations

0:13:44.080 --> 0:13:49.840
<v Speaker 1>that that are, you know, minorities, and yeah, the and

0:13:49.920 --> 0:13:56.000
<v Speaker 1>obviously that could lead to truly horrific inhumane practices, leading

0:13:56.000 --> 0:13:59.839
<v Speaker 1>all the way up to even genocide. Yes, I mean,

0:14:00.559 --> 0:14:05.400
<v Speaker 1>right now what we're seeing is sort of um imprisonment

0:14:05.559 --> 0:14:08.440
<v Speaker 1>in re education camps. But I think it's important to

0:14:08.440 --> 0:14:11.880
<v Speaker 1>note and this is again, you know, piggybacking off of

0:14:11.880 --> 0:14:14.400
<v Speaker 1>what Oz was saying. You know, the Chinese Communist Party

0:14:14.640 --> 0:14:18.320
<v Speaker 1>has often used surveillance as a means for control. The

0:14:18.320 --> 0:14:21.960
<v Speaker 1>differences is that artificial intelligence enables a kind of surveillance

0:14:21.960 --> 0:14:24.800
<v Speaker 1>that we haven't seen before, which is, you know, in China,

0:14:25.160 --> 0:14:32.760
<v Speaker 1>there is basically a very large operation that they call Egypt,

0:14:32.800 --> 0:14:37.960
<v Speaker 1>which is the Integrated Joint up Integrated Joint Operations. And

0:14:38.000 --> 0:14:41.480
<v Speaker 1>what that does is it's a database that is sweeping

0:14:41.560 --> 0:14:47.800
<v Speaker 1>information from you know, basically every source imaginable WiFi, you know,

0:14:47.960 --> 0:14:50.840
<v Speaker 1>visitor management system so you know, for example, in America,

0:14:50.880 --> 0:14:52.640
<v Speaker 1>what we call you know, when you walk into a

0:14:52.640 --> 0:14:56.560
<v Speaker 1>building and register your name to visit an office. You know, um,

0:14:56.680 --> 0:15:01.440
<v Speaker 1>wecha um we chat conversations, you know, uh, when you

0:15:01.520 --> 0:15:03.360
<v Speaker 1>leave the country, when you come back in the country,

0:15:03.560 --> 0:15:08.720
<v Speaker 1>all of these things are being swept into um a

0:15:08.840 --> 0:15:11.200
<v Speaker 1>larger I don't I don't know what the word is

0:15:11.200 --> 0:15:12.800
<v Speaker 1>for it. It's not server, I don't know how to

0:15:12.840 --> 0:15:15.600
<v Speaker 1>say it. It's a system. It's a system. It's a

0:15:15.600 --> 0:15:20.160
<v Speaker 1>system that it's then making decisions and predictions about who

0:15:20.240 --> 0:15:24.240
<v Speaker 1>is basically doing right and doing wrong. And we just

0:15:24.360 --> 0:15:27.280
<v Speaker 1>simply don't have We don't have anything like that in

0:15:27.280 --> 0:15:29.680
<v Speaker 1>the United States right now. I mean, certainly we can

0:15:30.200 --> 0:15:33.000
<v Speaker 1>there there are companies that can use our information in

0:15:33.040 --> 0:15:35.640
<v Speaker 1>the United States to make predictions about us, to sell

0:15:35.720 --> 0:15:40.160
<v Speaker 1>us things, to basically set our insurance premiums. But as

0:15:40.240 --> 0:15:45.240
<v Speaker 1>far as just an integrated system that is making decisions

0:15:45.280 --> 0:15:48.960
<v Speaker 1>about its people and then also using it to imprison

0:15:49.000 --> 0:15:52.200
<v Speaker 1>its people. There's it's just unprecedented. And you know, the

0:15:52.280 --> 0:15:56.960
<v Speaker 1>Human Rights Watch is basically calling it a humanitarian crisis,

0:15:56.960 --> 0:15:58.480
<v Speaker 1>which I which I think it is when you think

0:15:58.520 --> 0:16:02.400
<v Speaker 1>about you know, um, your own country basically spying on

0:16:02.440 --> 0:16:07.040
<v Speaker 1>your conversations. Um, really, I mean obviously without your consent.

0:16:07.080 --> 0:16:09.400
<v Speaker 1>People are stopped all the time in China and their

0:16:09.400 --> 0:16:11.840
<v Speaker 1>phones are taken and read through like that's a very

0:16:11.880 --> 0:16:15.440
<v Speaker 1>that's a sort of normal day, um, and then using

0:16:15.480 --> 0:16:18.480
<v Speaker 1>that information to put you in a re education camp.

0:16:18.520 --> 0:16:21.760
<v Speaker 1>I mean, I think if most Americans knew that, which

0:16:21.760 --> 0:16:26.560
<v Speaker 1>I don't think they do, um, they would be alarmed.

0:16:26.920 --> 0:16:30.040
<v Speaker 1>But let's be clear. You know, we're we're very far

0:16:30.200 --> 0:16:33.120
<v Speaker 1>from having a re education camps in the US, but

0:16:33.240 --> 0:16:35.960
<v Speaker 1>we do, and it's not on a state level or

0:16:36.120 --> 0:16:39.640
<v Speaker 1>a national level. We do make decisions about people's outcomes

0:16:39.640 --> 0:16:42.800
<v Speaker 1>with stuff like credit schools. I mean the credit schools.

0:16:42.840 --> 0:16:47.680
<v Speaker 1>You know in China it's it's it's ethnically it's explicitly ethnic. Right.

0:16:47.880 --> 0:16:50.560
<v Speaker 1>Well again in China they wouldn't say that, but effectively

0:16:50.560 --> 0:16:53.680
<v Speaker 1>it's explicitly ethnic against the wagers. In the US, we

0:16:53.720 --> 0:16:56.160
<v Speaker 1>have credit schools and guess what most people who grow

0:16:56.200 --> 0:16:58.240
<v Speaker 1>up with a certain amount of privilege know what their

0:16:58.240 --> 0:17:01.800
<v Speaker 1>credit school is, understand the principle of the credit school.

0:17:02.080 --> 0:17:04.080
<v Speaker 1>Get a credit card as early as they can, start

0:17:04.080 --> 0:17:06.439
<v Speaker 1>building their credit, making monthly payoffs, and then when it

0:17:06.480 --> 0:17:08.760
<v Speaker 1>comes time to get a mortgage and buy a house

0:17:08.800 --> 0:17:11.359
<v Speaker 1>and move to a nice neighborhood, guess what, All the

0:17:11.359 --> 0:17:13.720
<v Speaker 1>pieces are in place. But but for for many people

0:17:13.720 --> 0:17:15.840
<v Speaker 1>who don't grow up with the privilege, that the credit

0:17:15.880 --> 0:17:18.320
<v Speaker 1>school comes as a complete surprise at a certain point

0:17:18.359 --> 0:17:20.480
<v Speaker 1>in life that you know, there's even notion of having

0:17:20.560 --> 0:17:22.840
<v Speaker 1>bad credit. All of a sudden, you know you've got

0:17:22.880 --> 0:17:26.119
<v Speaker 1>bad credit without ever having realized that you had this

0:17:26.160 --> 0:17:28.280
<v Speaker 1>credit school you're supposed to be working on. And guess what.

0:17:28.600 --> 0:17:30.400
<v Speaker 1>You can't move out of your neighborhood, You can't get

0:17:30.440 --> 0:17:32.720
<v Speaker 1>what you want, You can't buy your children and things

0:17:32.720 --> 0:17:35.280
<v Speaker 1>they need. So we do have this here. It's not

0:17:35.400 --> 0:17:41.040
<v Speaker 1>state policy, but we've we've effectually outsourced this predictive technology

0:17:41.080 --> 0:17:42.760
<v Speaker 1>about what people are going to do in the future

0:17:42.800 --> 0:17:45.600
<v Speaker 1>to private corporations who who use it to profit from

0:17:45.720 --> 0:17:48.520
<v Speaker 1>us rather than to control us. But we shouldn't beat

0:17:48.560 --> 0:17:51.440
<v Speaker 1>we shouldn't beat China too hard with this stick when

0:17:51.440 --> 0:17:54.600
<v Speaker 1>we have certain analogous practices here in the US. Sure,

0:17:54.840 --> 0:17:57.280
<v Speaker 1>I mean you could even I'm sure there are plenty

0:17:57.280 --> 0:18:01.040
<v Speaker 1>of people who do argue that when we the practices

0:18:01.080 --> 0:18:06.440
<v Speaker 1>of certain actual state level organizations in the United States,

0:18:06.960 --> 0:18:09.479
<v Speaker 1>that we should be concerned about what sort of systems

0:18:09.480 --> 0:18:11.960
<v Speaker 1>they might be using. I'm thinking specifically of the n

0:18:12.080 --> 0:18:15.840
<v Speaker 1>s A because it wasn't that long ago when we

0:18:15.840 --> 0:18:18.600
<v Speaker 1>were having enormous headlines about the n s A and

0:18:18.640 --> 0:18:21.840
<v Speaker 1>its practices of trying to have you know, essentially listening

0:18:21.920 --> 0:18:28.280
<v Speaker 1>points just outside of major UH communications channels, whether it

0:18:28.400 --> 0:18:32.960
<v Speaker 1>was Internet service providers or the telecommunications industry in general,

0:18:33.320 --> 0:18:36.080
<v Speaker 1>and you start thinking, well, if you start applying these

0:18:36.160 --> 0:18:40.359
<v Speaker 1>kind of AI surveillance UH programs, which is you know,

0:18:40.600 --> 0:18:45.360
<v Speaker 1>in essay, is all about trying to detect communications UH

0:18:45.480 --> 0:18:49.480
<v Speaker 1>in that everyone gets lumped into and not just bad actors,

0:18:49.920 --> 0:18:52.600
<v Speaker 1>then you start getting those concerns. And you know, we

0:18:52.600 --> 0:18:55.560
<v Speaker 1>we saw plenty of that even without the AI element

0:18:55.960 --> 0:18:58.000
<v Speaker 1>when the n s A stories were breaking a couple

0:18:58.000 --> 0:19:01.040
<v Speaker 1>of years ago, even just to the point where we

0:19:01.040 --> 0:19:04.400
<v Speaker 1>were seeing people in the n s A behaving poorly,

0:19:04.560 --> 0:19:11.000
<v Speaker 1>like using the information gathered to track down like old relationship,

0:19:11.800 --> 0:19:15.080
<v Speaker 1>you know, like old boyfriends and girlfriends, not an ethical

0:19:15.160 --> 0:19:18.320
<v Speaker 1>use of your power if you're if you're looking in

0:19:18.400 --> 0:19:22.199
<v Speaker 1>on communications. So we know that it doesn't have to

0:19:22.240 --> 0:19:27.280
<v Speaker 1>be a an official state line policy for this to

0:19:27.560 --> 0:19:32.480
<v Speaker 1>either be uh misused in an unauthorized way or put

0:19:32.520 --> 0:19:35.760
<v Speaker 1>to use in a way that maybe it's not immoral,

0:19:35.880 --> 0:19:38.359
<v Speaker 1>but you could at least argue it's a moral with

0:19:38.400 --> 0:19:42.080
<v Speaker 1>a lot of the the business practices, because that's morality

0:19:42.200 --> 0:19:45.679
<v Speaker 1>is not consideration when you're looking at how do we

0:19:45.920 --> 0:19:49.840
<v Speaker 1>make more revenue, how do we make a greater profit? Um,

0:19:50.160 --> 0:19:52.560
<v Speaker 1>And and you know you're just you're essentially you're checking

0:19:52.560 --> 0:19:55.159
<v Speaker 1>off boxes saying, right, here's how we can make this

0:19:55.240 --> 0:19:59.359
<v Speaker 1>more efficient, have a lower cost to us, a greater

0:19:59.600 --> 0:20:02.520
<v Speaker 1>payoff off in the long run. And so we start

0:20:02.560 --> 0:20:04.640
<v Speaker 1>to see how exactly as you were saying, Oz that

0:20:05.080 --> 0:20:08.040
<v Speaker 1>that while you it is easy to point to another

0:20:08.080 --> 0:20:13.560
<v Speaker 1>country and say these policies are clearly uh harmful to

0:20:13.640 --> 0:20:16.880
<v Speaker 1>people and are therefore bad, we also need to make

0:20:16.920 --> 0:20:20.399
<v Speaker 1>sure we're reflecting on the environment that we ourselves are

0:20:20.440 --> 0:20:23.960
<v Speaker 1>in when we I'm sorry, go ahead, oh no, I

0:20:24.000 --> 0:20:26.359
<v Speaker 1>was just gonna make one comment, you know, and for example,

0:20:26.359 --> 0:20:30.720
<v Speaker 1>in the state of Arizona, if you applied for a

0:20:30.840 --> 0:20:33.520
<v Speaker 1>driver's license in the state of Arizona, your photo was

0:20:33.600 --> 0:20:38.360
<v Speaker 1>then put into a database that was being used by

0:20:38.480 --> 0:20:41.480
<v Speaker 1>that was being used for facial recognition, right, and that

0:20:41.560 --> 0:20:45.159
<v Speaker 1>was without driver's consent. Basically, law enforcement came back and

0:20:45.200 --> 0:20:47.159
<v Speaker 1>was like, whoa we you know, we think people know

0:20:47.200 --> 0:20:49.000
<v Speaker 1>that this is going on. You know, that was their

0:20:49.000 --> 0:20:51.960
<v Speaker 1>best answer. It wasn't like, oh, there was you know,

0:20:52.040 --> 0:20:54.560
<v Speaker 1>fine print that people didn't read. It was basically like, well,

0:20:54.600 --> 0:20:58.600
<v Speaker 1>we thought people knew, and so you know, I we

0:20:58.720 --> 0:21:02.240
<v Speaker 1>can't exonerate yeah, sort of our own our home turf,

0:21:02.280 --> 0:21:04.680
<v Speaker 1>because there's certainly I don't even know if you would

0:21:04.680 --> 0:21:09.480
<v Speaker 1>call this misuse. It just seems like exploitation um for

0:21:10.640 --> 0:21:14.960
<v Speaker 1>gain for for basically gains of I think police departments

0:21:15.000 --> 0:21:19.719
<v Speaker 1>that are seeing this technology, recognizing how powerful it is,

0:21:19.800 --> 0:21:23.760
<v Speaker 1>but also realizing that it's something that needs to be

0:21:23.800 --> 0:21:26.960
<v Speaker 1>regulated and not knowing how or not really caring. And

0:21:27.000 --> 0:21:29.480
<v Speaker 1>I think Jonathan, you used the great example of the

0:21:29.560 --> 0:21:31.879
<v Speaker 1>n S a UM, which I think tie is very

0:21:31.920 --> 0:21:34.320
<v Speaker 1>neatly to what we're talking about. Edward Snowden had a

0:21:34.400 --> 0:21:38.560
<v Speaker 1>very haunting phrase which was turnkey tyranny to describe basically,

0:21:38.560 --> 0:21:42.280
<v Speaker 1>once you build infrastructure for something, um, anything can happen.

0:21:42.400 --> 0:21:44.960
<v Speaker 1>And the technological infrastructure we have here in the US

0:21:45.040 --> 0:21:48.119
<v Speaker 1>for surveillance and social control is I mean, we have

0:21:48.200 --> 0:21:52.160
<v Speaker 1>few cameras, you know, there are more distinctions between companies,

0:21:52.200 --> 0:21:55.280
<v Speaker 1>but effectively the infrastructure exists to do what's happening in

0:21:55.359 --> 0:21:59.440
<v Speaker 1>China here. And that's very frightening because you know, as

0:21:59.480 --> 0:22:03.360
<v Speaker 1>we know for Henry Ford's what wonderful pressure to build

0:22:03.480 --> 0:22:05.840
<v Speaker 1>roads in the US. Guess what you build the roads,

0:22:05.880 --> 0:22:07.840
<v Speaker 1>people are going to drive cars and not take the train.

0:22:07.960 --> 0:22:10.920
<v Speaker 1>So once this infrastructure exists, and you add to that,

0:22:11.440 --> 0:22:15.600
<v Speaker 1>you know a leader who doesn't respect norms or wartime,

0:22:16.320 --> 0:22:18.919
<v Speaker 1>all of a sudden the barriers that we think are

0:22:19.000 --> 0:22:23.160
<v Speaker 1>so solid to protect that infrastructure being weaponized against us

0:22:23.520 --> 0:22:26.040
<v Speaker 1>start to road very very quickly. And I think that

0:22:26.040 --> 0:22:28.200
<v Speaker 1>that's the moment we're in right now. And that's another

0:22:28.200 --> 0:22:30.920
<v Speaker 1>reason why he wants to call this podcast sleepwalkers, because

0:22:31.280 --> 0:22:34.640
<v Speaker 1>we don't insist on those norms and legal protections. Bit

0:22:34.680 --> 0:22:37.280
<v Speaker 1>by bit, the infrastructure will have its own logic and

0:22:37.600 --> 0:22:41.280
<v Speaker 1>one emergency after another. Remember the Patriot Act will allow

0:22:41.359 --> 0:22:44.639
<v Speaker 1>this technology to be used against us in ways that

0:22:44.680 --> 0:22:48.160
<v Speaker 1>we currently find sickening and horrifying and terrifying. In China,

0:22:48.680 --> 0:22:52.960
<v Speaker 1>they could easily come home. Yeah. Yeah, it's a sobering point.

0:22:53.160 --> 0:22:55.680
<v Speaker 1>And on that point, I think we're going to take

0:22:55.680 --> 0:22:57.919
<v Speaker 1>a quick break so I can suck my thumb in

0:22:57.920 --> 0:23:11.280
<v Speaker 1>the corner. Okay, alright, Pruny thomicide. Now we've talked about

0:23:11.600 --> 0:23:14.600
<v Speaker 1>some of the differences between say, China and the United States.

0:23:14.840 --> 0:23:17.719
<v Speaker 1>One of the things I thought was interesting is the

0:23:17.760 --> 0:23:21.399
<v Speaker 1>idea that in China you have you have sort of

0:23:21.440 --> 0:23:29.199
<v Speaker 1>a very concrete strategy in place, right, a top down strategy,

0:23:29.800 --> 0:23:33.080
<v Speaker 1>and it's it's pretty much all the companies that are

0:23:33.160 --> 0:23:36.199
<v Speaker 1>working on this strategy are in alignment with it to

0:23:36.520 --> 0:23:39.800
<v Speaker 1>some degree or another. Some are very much in step

0:23:40.160 --> 0:23:44.600
<v Speaker 1>with the state government. Others are to a lesser degree perhaps,

0:23:44.680 --> 0:23:47.720
<v Speaker 1>but still you know, following along the strategy. Meanwhile, in

0:23:47.720 --> 0:23:52.720
<v Speaker 1>the United States, it's much more of this competitive this

0:23:52.720 --> 0:23:56.680
<v Speaker 1>this classic capitalist idea of competition in the space where

0:23:56.720 --> 0:23:59.280
<v Speaker 1>you have all these different pockets that are all trying

0:23:59.320 --> 0:24:03.280
<v Speaker 1>to own a I themselves competing against each other. So

0:24:03.320 --> 0:24:06.520
<v Speaker 1>we're getting lots of interesting innovation, but not nearly at

0:24:06.560 --> 0:24:09.639
<v Speaker 1>the same speed or scale as we're seeing in China.

0:24:09.800 --> 0:24:12.800
<v Speaker 1>Is that is that more or less a correct assumption

0:24:12.880 --> 0:24:15.439
<v Speaker 1>or am I way off base here? No? I think

0:24:15.480 --> 0:24:20.200
<v Speaker 1>that's completely fair. You know, this year, the government that

0:24:20.320 --> 0:24:25.560
<v Speaker 1>President Trump did announce an executive order on AI in February,

0:24:26.400 --> 0:24:28.040
<v Speaker 1>and so that was that was seen as a kind

0:24:28.040 --> 0:24:31.639
<v Speaker 1>of related response to what China are doing. And that

0:24:31.720 --> 0:24:36.040
<v Speaker 1>executive order that the President issued had four major components.

0:24:36.440 --> 0:24:39.439
<v Speaker 1>Number one, to set AI as a national priority of

0:24:39.480 --> 0:24:42.760
<v Speaker 1>the United States. Number two, interestingly, to get better at

0:24:42.880 --> 0:24:47.640
<v Speaker 1>data sharing between the government and private enterprise. Number three,

0:24:47.640 --> 0:24:50.640
<v Speaker 1>it is the ethical guidelines on how AI is used

0:24:50.640 --> 0:24:53.720
<v Speaker 1>in terms of surveillance and military and number four to

0:24:53.840 --> 0:24:56.200
<v Speaker 1>make sure that the United States is doing the best

0:24:56.240 --> 0:24:59.159
<v Speaker 1>it can to educate the next generation of engineers and

0:24:59.240 --> 0:25:02.680
<v Speaker 1>AI scientists. Now, those are all good things, apart from

0:25:02.680 --> 0:25:06.760
<v Speaker 1>maybe two number two, the data sharing um. But guess

0:25:06.800 --> 0:25:09.320
<v Speaker 1>how much funding that executive order came with. I'm going

0:25:09.320 --> 0:25:12.760
<v Speaker 1>to guess that was a big old goose egg. Zero dollars,

0:25:13.600 --> 0:25:18.280
<v Speaker 1>zero dollars. Whereas shen Zen, which is a province in China,

0:25:18.720 --> 0:25:21.639
<v Speaker 1>is spending fifteen billion dollars this year. That's one of

0:25:21.680 --> 0:25:25.520
<v Speaker 1>the many, many provinces in China spending not even federal

0:25:25.560 --> 0:25:28.880
<v Speaker 1>money but state money on AI. So in that context

0:25:28.920 --> 0:25:31.080
<v Speaker 1>you can say, oh, you know, we're getting up to speed,

0:25:31.480 --> 0:25:34.560
<v Speaker 1>we're responding, but you know you've got to put your

0:25:34.560 --> 0:25:37.040
<v Speaker 1>money where your mouth is and we're not doing that. Yeah.

0:25:37.240 --> 0:25:40.600
<v Speaker 1>And on a on a related note, you know, when

0:25:40.640 --> 0:25:45.119
<v Speaker 1>we talk about things like the regulations, the laws in place,

0:25:45.200 --> 0:25:48.280
<v Speaker 1>like how do we how do we then create policies

0:25:48.880 --> 0:25:54.960
<v Speaker 1>that ensure that we're using AI responsibly and productively and

0:25:55.040 --> 0:25:58.840
<v Speaker 1>not in ways that are harmful or destructive, um at

0:25:58.880 --> 0:26:01.399
<v Speaker 1>least to our own set aisions if and hopefully not

0:26:01.480 --> 0:26:05.480
<v Speaker 1>to anyone at all. We tend to see that lag behind,

0:26:05.680 --> 0:26:07.840
<v Speaker 1>just like we do with technology in general. We tend

0:26:07.840 --> 0:26:13.600
<v Speaker 1>to see technology innovations far out distancing our ability to

0:26:13.600 --> 0:26:18.040
<v Speaker 1>to incorporate that into our our legal you know, kind

0:26:18.080 --> 0:26:23.879
<v Speaker 1>of massive infrastructure. Understandably so obviously that that system is

0:26:23.880 --> 0:26:27.320
<v Speaker 1>going to move much more slowly than technological innovation, but

0:26:27.400 --> 0:26:31.399
<v Speaker 1>it does create these pain points, whether it's uh, you know,

0:26:31.480 --> 0:26:34.040
<v Speaker 1>like autonomous cars. You know, you have different states in

0:26:34.080 --> 0:26:37.280
<v Speaker 1>the United States that will allow for some degree of

0:26:37.320 --> 0:26:41.439
<v Speaker 1>autonomous car testing. Meanwhile, you've got companies like Tesla that

0:26:41.480 --> 0:26:45.520
<v Speaker 1>are rolling out vehicles that have autopilot feature, which, to

0:26:45.640 --> 0:26:48.640
<v Speaker 1>the company's credit, they say, is not meant to be

0:26:48.720 --> 0:26:52.280
<v Speaker 1>taken as an autonomous system. But tell that to all

0:26:52.280 --> 0:26:55.680
<v Speaker 1>the people going down the highway who are leaning back

0:26:55.680 --> 0:26:58.399
<v Speaker 1>in their cars with their hands off the wheel. Um,

0:26:58.520 --> 0:27:01.119
<v Speaker 1>you could argue that that false of the responsibility of

0:27:01.119 --> 0:27:03.400
<v Speaker 1>the individuals. But if enough individuals are doing it, you've

0:27:03.400 --> 0:27:05.720
<v Speaker 1>got to start asking what's the value of actually having

0:27:05.720 --> 0:27:10.640
<v Speaker 1>the system in place? Um, we're seeing that as being

0:27:10.640 --> 0:27:13.280
<v Speaker 1>a kind of a disparity as well. Right, We're seeing

0:27:13.320 --> 0:27:17.520
<v Speaker 1>this this gap between what we're capable of and what

0:27:17.560 --> 0:27:19.439
<v Speaker 1>we should be doing, or at least what you know,

0:27:20.320 --> 0:27:23.800
<v Speaker 1>what are legal system says we should be doing. And meanwhile,

0:27:24.720 --> 0:27:27.840
<v Speaker 1>in contrast to that, and and Kara, you mentioned the

0:27:27.840 --> 0:27:30.160
<v Speaker 1>EU a couple of times in our last podcast. Over

0:27:30.160 --> 0:27:35.600
<v Speaker 1>in the European Union, you have committees dedicated to thinking

0:27:35.640 --> 0:27:39.080
<v Speaker 1>about these sort of things and starting to propose potential

0:27:40.040 --> 0:27:46.119
<v Speaker 1>UH strategies or even presenting different options for strategies for

0:27:46.240 --> 0:27:50.000
<v Speaker 1>dealing with AI. Even beyond these these cases that I'm

0:27:50.040 --> 0:27:52.040
<v Speaker 1>talking about, like they're they're going to the point where

0:27:53.160 --> 0:27:55.240
<v Speaker 1>I remember reporting on this a couple of years ago

0:27:55.280 --> 0:27:58.160
<v Speaker 1>for Forward Thinking, a series I used to do where

0:27:58.320 --> 0:28:00.879
<v Speaker 1>the EU was proposed a committee in the EU, or

0:28:00.920 --> 0:28:06.320
<v Speaker 1>rather was proposing the idea of granting personhood two artificially

0:28:06.400 --> 0:28:10.960
<v Speaker 1>intelligent systems, And on the face of it, that sounds

0:28:11.000 --> 0:28:14.240
<v Speaker 1>absurd to a lot of people, the idea of granting

0:28:14.359 --> 0:28:17.440
<v Speaker 1>a non human the concept of personhood, despite the fact

0:28:17.480 --> 0:28:20.440
<v Speaker 1>that in the United States we have corporations which are

0:28:20.480 --> 0:28:25.920
<v Speaker 1>exactly that. But yeah, like, hey, hey, wait, we corporations

0:28:25.920 --> 0:28:30.159
<v Speaker 1>can be people too, and uh can give money as

0:28:30.160 --> 0:28:33.000
<v Speaker 1>long as they can give money to politicians, absolutely, so

0:28:33.119 --> 0:28:36.560
<v Speaker 1>why can't robots. But the point that the EU committee

0:28:36.560 --> 0:28:40.320
<v Speaker 1>was making was not that robots have feelings and we

0:28:40.320 --> 0:28:43.800
<v Speaker 1>should really be considerate of them, but rather there needs

0:28:43.840 --> 0:28:48.959
<v Speaker 1>to be some way to start to establish concepts like accountability.

0:28:49.640 --> 0:28:53.560
<v Speaker 1>In the case where some form of AI constructor or

0:28:53.720 --> 0:28:58.840
<v Speaker 1>robot causes harm in the form of damages or injury,

0:28:59.360 --> 0:29:01.680
<v Speaker 1>how do you are to determine who's at fault. We

0:29:01.760 --> 0:29:03.880
<v Speaker 1>touched on this a little bit in the last episode,

0:29:04.160 --> 0:29:07.160
<v Speaker 1>so to me, it's fascinating that those are discussions that

0:29:07.160 --> 0:29:11.920
<v Speaker 1>are popping up, like very serious discussions in the EU.

0:29:12.160 --> 0:29:15.400
<v Speaker 1>And Oz I think when we met briefly in New

0:29:15.480 --> 0:29:19.360
<v Speaker 1>York a couple of weeks ago, we talked about the

0:29:19.360 --> 0:29:21.760
<v Speaker 1>fact that this is an area of the world not

0:29:21.920 --> 0:29:27.880
<v Speaker 1>known for making incredible advances in AI technology. It's not

0:29:27.960 --> 0:29:30.480
<v Speaker 1>like you look at Europe as saying this is where

0:29:30.480 --> 0:29:33.520
<v Speaker 1>the hot bed for AI development is, but it is

0:29:33.560 --> 0:29:39.120
<v Speaker 1>a region that's dedicating a lot of consideration to the

0:29:39.240 --> 0:29:43.960
<v Speaker 1>implications of AI in day to day lives. Yeah. Absolutely,

0:29:44.000 --> 0:29:46.720
<v Speaker 1>I mean, the EU has been out in front on

0:29:46.880 --> 0:29:51.400
<v Speaker 1>thinking about technology and AI. Um Obviously, g d PR

0:29:51.560 --> 0:29:54.960
<v Speaker 1>was a big act on regulating data and informing people

0:29:55.000 --> 0:29:58.880
<v Speaker 1>about how people's data is being used passed in the EU,

0:29:59.000 --> 0:30:02.040
<v Speaker 1>which triggered a whole series of conversations in the US

0:30:02.080 --> 0:30:06.200
<v Speaker 1>about data regulation which will probably see they're starting now,

0:30:06.280 --> 0:30:08.040
<v Speaker 1>we may see them come into law in the next

0:30:08.120 --> 0:30:10.840
<v Speaker 1>two or three or four years. So the EU, good

0:30:10.840 --> 0:30:15.960
<v Speaker 1>old Europe, despite its stifling effects on innovation I think

0:30:16.000 --> 0:30:20.040
<v Speaker 1>and on technological innovation, is an innovator in terms of regulation,

0:30:20.040 --> 0:30:22.719
<v Speaker 1>which probably sounds like a contradiction in terms and this

0:30:22.760 --> 0:30:24.720
<v Speaker 1>is an area that Karas looked into really closely and

0:30:24.760 --> 0:30:30.080
<v Speaker 1>has some I think, very interesting insights about. Yeah. Yeah, well,

0:30:30.120 --> 0:30:32.320
<v Speaker 1>I mean, as I was saying, to you earlier actually

0:30:32.320 --> 0:30:34.760
<v Speaker 1>on the form I guess it was the former the

0:30:34.800 --> 0:30:38.640
<v Speaker 1>episode before this. Um, yeah, you know, I think it's interesting.

0:30:40.200 --> 0:30:45.320
<v Speaker 1>The EUSE approach to me up very recently, you know,

0:30:45.440 --> 0:30:49.080
<v Speaker 1>was to basically collect a group of fifty two experts

0:30:49.240 --> 0:30:55.040
<v Speaker 1>and you know, create these seven core requirements for artificial intelligence. Now,

0:30:55.520 --> 0:30:56.880
<v Speaker 1>I mean I can name them. You know. One is

0:30:56.960 --> 0:31:00.440
<v Speaker 1>human agency and oversight. The other is technical robut us nous.

0:31:00.480 --> 0:31:03.800
<v Speaker 1>The third is privacy and data governance. The fourth is transparency.

0:31:04.160 --> 0:31:07.440
<v Speaker 1>The fifth is AI that AI systems should be sustainable,

0:31:07.560 --> 0:31:11.880
<v Speaker 1>um whatever that means. UM, AI systems should be auditable.

0:31:11.920 --> 0:31:13.920
<v Speaker 1>As we were talking about with you know, black the

0:31:13.960 --> 0:31:17.280
<v Speaker 1>black box problem, you know, AI should also be available

0:31:17.320 --> 0:31:19.040
<v Speaker 1>to all. You know, this is what we talk about

0:31:19.040 --> 0:31:24.320
<v Speaker 1>in terms of bias, gender bias, um, you know, racial bias,

0:31:24.360 --> 0:31:28.120
<v Speaker 1>all of those things. But I don't I have a

0:31:28.160 --> 0:31:30.080
<v Speaker 1>bit of an issue with it just in that it's

0:31:31.040 --> 0:31:34.640
<v Speaker 1>it doesn't seem to have much action involved in it.

0:31:34.680 --> 0:31:37.040
<v Speaker 1>There aren't many action items. I think I think it

0:31:37.200 --> 0:31:42.680
<v Speaker 1>is important, um for governments to to set standards you know,

0:31:42.800 --> 0:31:45.720
<v Speaker 1>as a as a sort of first step, um, you know,

0:31:45.800 --> 0:31:49.760
<v Speaker 1>and I think it also primes, you know, sort of

0:31:49.800 --> 0:31:53.760
<v Speaker 1>average citizens to be aware of misuse, right, because when

0:31:53.760 --> 0:31:56.360
<v Speaker 1>you set when you set up requirements, it means that

0:31:56.400 --> 0:31:59.840
<v Speaker 1>these are things that can be misused and be misused easily.

0:32:00.040 --> 0:32:01.880
<v Speaker 1>And I will say, you know, whenever I go home,

0:32:02.040 --> 0:32:05.200
<v Speaker 1>every time you go onto website on your phone, notifications

0:32:05.280 --> 0:32:08.760
<v Speaker 1>saying are you willing to let this website put cookies?

0:32:08.960 --> 0:32:11.120
<v Speaker 1>Are you willing to share your data? Are you willing

0:32:11.120 --> 0:32:14.440
<v Speaker 1>to accept targeted ads? And that the net effect socially

0:32:14.560 --> 0:32:17.080
<v Speaker 1>of that reminder that your data is valuable and you

0:32:17.120 --> 0:32:20.560
<v Speaker 1>have a choice every single day fifty times that that

0:32:20.760 --> 0:32:24.760
<v Speaker 1>inevitably caused the shifting consciousness and the shifting citizenship. So

0:32:25.080 --> 0:32:27.400
<v Speaker 1>I do think it's easy to say this regulation is toothless,

0:32:27.400 --> 0:32:30.240
<v Speaker 1>but I also think it can, you know, make people think, oh,

0:32:30.240 --> 0:32:31.920
<v Speaker 1>it's a huge culture. I mean when you just think,

0:32:31.960 --> 0:32:34.080
<v Speaker 1>I mean, think about it. Think about cigarettes, right, I mean,

0:32:34.080 --> 0:32:37.560
<v Speaker 1>it's just not you just don't smoke inside right anyway,

0:32:37.840 --> 0:32:41.080
<v Speaker 1>illegally you can't. But I'm saying, you know, just the

0:32:41.160 --> 0:32:45.680
<v Speaker 1>shift in public perception about smoking, the shift in public respection,

0:32:45.800 --> 0:32:49.160
<v Speaker 1>um perspective about sugar, for example, at least in the

0:32:49.240 --> 0:32:53.040
<v Speaker 1>United States. You know, those were all things that at

0:32:53.080 --> 0:32:55.280
<v Speaker 1>one point, we're not really discussed or talked about, and

0:32:55.280 --> 0:32:57.040
<v Speaker 1>you know, everyone kind of smoke cigarettes and that's what

0:32:57.040 --> 0:32:59.000
<v Speaker 1>people did and you know, then they got lung cancer.

0:32:59.080 --> 0:33:02.640
<v Speaker 1>But you know, I think the there is as long

0:33:02.680 --> 0:33:07.480
<v Speaker 1>as there is a public discourse about privacy, people will

0:33:07.520 --> 0:33:10.320
<v Speaker 1>begin to care more and more about privacy. So I think,

0:33:10.600 --> 0:33:15.200
<v Speaker 1>you know, the EU presenting um these seven requirements is

0:33:15.520 --> 0:33:19.240
<v Speaker 1>a step in the right direction. Absolutely, and if if anything,

0:33:19.600 --> 0:33:23.640
<v Speaker 1>will just make people think about these seven tenants when

0:33:23.680 --> 0:33:26.120
<v Speaker 1>they're going about their sort of everyday lives, and I

0:33:26.120 --> 0:33:30.240
<v Speaker 1>think we'll we'll make companies, um, you know, focus on

0:33:30.480 --> 0:33:35.200
<v Speaker 1>building these requirements into whatever they are developing. You know,

0:33:35.680 --> 0:33:39.640
<v Speaker 1>I think it's important for companies that are developing new

0:33:39.680 --> 0:33:42.800
<v Speaker 1>technologies to think about bias, especially when the people who

0:33:42.800 --> 0:33:47.800
<v Speaker 1>are developing the technologies might be quite homogeneous. So I

0:33:47.800 --> 0:33:49.560
<v Speaker 1>think it's worth saying that, you know, we we tend

0:33:49.600 --> 0:33:52.320
<v Speaker 1>to see the new world order in terms of America

0:33:52.440 --> 0:33:55.200
<v Speaker 1>versus China. You know, not to wave the flag for Europe,

0:33:55.200 --> 0:33:59.040
<v Speaker 1>which unfortunately my my country may longer no longer be

0:33:59.160 --> 0:34:01.960
<v Speaker 1>part of. But it's a it's a huge it's a

0:34:02.040 --> 0:34:06.080
<v Speaker 1>huge group of nations with tremendous purchasing power, and it's

0:34:06.200 --> 0:34:10.600
<v Speaker 1>genuinely significant market for US technology companies. And so you know,

0:34:10.760 --> 0:34:13.920
<v Speaker 1>the effects of this may seem far off and slightly irrelevant,

0:34:13.960 --> 0:34:16.880
<v Speaker 1>but you know, these finds that the EU is already

0:34:16.880 --> 0:34:20.120
<v Speaker 1>slapping Facebook and Google with they're not necessarily materials to

0:34:20.200 --> 0:34:23.600
<v Speaker 1>business yet. But you know, Europe as a voice for

0:34:23.880 --> 0:34:28.279
<v Speaker 1>regulation is an important one because you know, actually these

0:34:28.320 --> 0:34:32.160
<v Speaker 1>new technologies, AI technologies, they tend to affect the poorest

0:34:32.200 --> 0:34:35.160
<v Speaker 1>in society and the most vulnerable in society in the

0:34:35.200 --> 0:34:40.840
<v Speaker 1>most negative ways. So algorithmic discrimination, the replacement of you know,

0:34:41.320 --> 0:34:45.400
<v Speaker 1>of low education, shall we say, jobs like driving or packaging.

0:34:45.640 --> 0:34:49.160
<v Speaker 1>You know, these are things that are being experienced at

0:34:49.200 --> 0:34:51.239
<v Speaker 1>the hard edge by people who don't have much of

0:34:51.239 --> 0:34:53.640
<v Speaker 1>a voice in the political system. And so the fact

0:34:53.640 --> 0:34:56.360
<v Speaker 1>that the EU is is taking up the mantle, even

0:34:56.400 --> 0:34:59.920
<v Speaker 1>though it comes with hypocrisy, like using facial recognition at

0:35:00.040 --> 0:35:03.040
<v Speaker 1>the ports of entry, even though you know that the

0:35:03.200 --> 0:35:05.360
<v Speaker 1>level of the finds that can be applied to companies

0:35:05.400 --> 0:35:07.839
<v Speaker 1>like Google and Facebook can never hurt their bottom line,

0:35:08.239 --> 0:35:11.319
<v Speaker 1>I would say, is an important and valuable thing that

0:35:11.400 --> 0:35:13.759
<v Speaker 1>it's happening. And so you know, I think the EU

0:35:14.120 --> 0:35:17.759
<v Speaker 1>can offer some point of reference for how we may

0:35:17.760 --> 0:35:20.560
<v Speaker 1>think about regulating AI and technology in the US in

0:35:20.600 --> 0:35:25.120
<v Speaker 1>the future. And I think that you know, you've heard

0:35:25.360 --> 0:35:30.200
<v Speaker 1>futurists say we need to have some very serious conversations

0:35:30.800 --> 0:35:34.920
<v Speaker 1>about AI and the ethics of AI and how we

0:35:34.960 --> 0:35:38.440
<v Speaker 1>can make certain we're being responsible custodians of a I

0:35:39.200 --> 0:35:41.319
<v Speaker 1>and UH. To me, that was one of those things

0:35:41.400 --> 0:35:43.560
<v Speaker 1>where it was like, we need to talk about talking

0:35:43.600 --> 0:35:46.239
<v Speaker 1>about this, like that was the conversation for a very

0:35:46.320 --> 0:35:48.560
<v Speaker 1>long time. We need to talk about talking about it.

0:35:48.880 --> 0:35:50.960
<v Speaker 1>It's like having a meeting to talk about when you're

0:35:50.960 --> 0:35:53.040
<v Speaker 1>gonna have your meeting. Have you ever worked in an

0:35:53.080 --> 0:35:56.319
<v Speaker 1>office before? Oh? Yeah, no, I worked in I worked

0:35:56.320 --> 0:35:59.600
<v Speaker 1>in a college administrative office before. So I've had meeting

0:35:59.760 --> 0:36:03.960
<v Speaker 1>about how we can have fewer meetings and this is

0:36:03.960 --> 0:36:09.360
<v Speaker 1>not the way. Yeah. So, so having the EU actually

0:36:09.360 --> 0:36:11.840
<v Speaker 1>take this step, even if you were to argue like

0:36:11.880 --> 0:36:14.120
<v Speaker 1>this is a very early step and maybe there's not

0:36:14.160 --> 0:36:17.480
<v Speaker 1>a lot of teeth to it yet, it is a

0:36:17.520 --> 0:36:20.960
<v Speaker 1>step as opposed to what I've seen elsewhere where it's

0:36:20.960 --> 0:36:23.280
<v Speaker 1>been talking about taking a step but not even doing

0:36:23.320 --> 0:36:27.560
<v Speaker 1>that much. So I'm encouraged by it because it actually

0:36:27.560 --> 0:36:30.399
<v Speaker 1>moves the conversation forward instead of us saying we need

0:36:30.440 --> 0:36:34.000
<v Speaker 1>to have this conversation, the conversation has started. I don't

0:36:34.000 --> 0:36:36.239
<v Speaker 1>think it's over yet. I think that this is a

0:36:36.280 --> 0:36:41.440
<v Speaker 1>good way to actually force more parties to get involved

0:36:41.440 --> 0:36:46.040
<v Speaker 1>and think about it and maybe even start proactively thinking,

0:36:46.040 --> 0:36:48.839
<v Speaker 1>how can I make certain that the thing we are

0:36:48.880 --> 0:36:52.120
<v Speaker 1>building is actually being built in a responsible way that

0:36:52.239 --> 0:36:55.400
<v Speaker 1>isn't going to that we can mitigate as many unintended

0:36:55.400 --> 0:36:58.799
<v Speaker 1>consequences as possible, knowing that that is impossible to do

0:36:59.719 --> 0:37:04.319
<v Speaker 1>uh entirely, but to really try for it. So to me,

0:37:04.480 --> 0:37:06.399
<v Speaker 1>this is this is one of those conversations I could

0:37:06.440 --> 0:37:09.040
<v Speaker 1>have all day long. But I know you guys need

0:37:09.080 --> 0:37:10.640
<v Speaker 1>to get going because there's going to be someone else

0:37:10.640 --> 0:37:12.359
<v Speaker 1>who's going to have to use the studio you guys

0:37:12.360 --> 0:37:14.080
<v Speaker 1>are in, So I'm going to I'm not going to

0:37:14.200 --> 0:37:16.480
<v Speaker 1>have us go all day long on this. Plus, we're

0:37:16.480 --> 0:37:19.160
<v Speaker 1>recording this on a holiday weekend, and I know everybody

0:37:19.200 --> 0:37:22.200
<v Speaker 1>wants to get home, so we're gonna wrap it up.

0:37:22.239 --> 0:37:25.160
<v Speaker 1>But I want to thank you guys so much for

0:37:25.239 --> 0:37:30.399
<v Speaker 1>agreeing to come onto my show. Uh it's a fascinating conversation,

0:37:30.600 --> 0:37:34.239
<v Speaker 1>and you guys obviously have some great perspectives on this.

0:37:34.760 --> 0:37:39.200
<v Speaker 1>And again to my listeners out there, if you haven't

0:37:39.200 --> 0:37:42.800
<v Speaker 1>subscribed to Sleepwalkers, go check it out. It's a really

0:37:42.880 --> 0:37:47.399
<v Speaker 1>well done show. I've been very impressed as someone who

0:37:47.400 --> 0:37:51.080
<v Speaker 1>has a solo show. Most of the time I listened

0:37:51.080 --> 0:37:54.200
<v Speaker 1>to it, I just think, wow, that's that's so awesome,

0:37:54.800 --> 0:37:57.400
<v Speaker 1>that's so great. I wish I were on that show

0:37:57.440 --> 0:38:00.400
<v Speaker 1>every now and then. So hint, hint, if you vernee me,

0:38:00.440 --> 0:38:03.239
<v Speaker 1>you just we love it. We would absolutely love it.

0:38:03.320 --> 0:38:06.240
<v Speaker 1>Let's talk about that. We had a great time today.

0:38:06.520 --> 0:38:10.719
<v Speaker 1>Thank you, Thank you guys, and you guys, if you

0:38:10.760 --> 0:38:13.200
<v Speaker 1>want to get in touch with me, drop me a line,

0:38:13.280 --> 0:38:16.200
<v Speaker 1>say hey, you need to talk about this other topic

0:38:16.360 --> 0:38:18.719
<v Speaker 1>or those guys were great. Have them back on the

0:38:18.760 --> 0:38:21.319
<v Speaker 1>show as soon as possible. Send me an email. It's

0:38:21.400 --> 0:38:24.640
<v Speaker 1>tech Stuff at how stuff works dot com. Pop on

0:38:24.719 --> 0:38:27.279
<v Speaker 1>over to the website that's tech Stuff podcast dot com.

0:38:27.320 --> 0:38:30.799
<v Speaker 1>You'll find the archive for all of my episodes. If

0:38:30.840 --> 0:38:33.480
<v Speaker 1>you are really bored, they're more than a thousand of them,

0:38:33.560 --> 0:38:36.360
<v Speaker 1>so have at it. And then you can pop on

0:38:36.400 --> 0:38:38.160
<v Speaker 1>over to the merchandise store and you can finally get

0:38:38.160 --> 0:38:41.160
<v Speaker 1>yourself that tech Stuff mug that you've been wanting all

0:38:41.160 --> 0:38:44.479
<v Speaker 1>this time, and I'll talk to you again. Really. Sion

0:38:49.239 --> 0:38:51.440
<v Speaker 1>Text Stuff is a production of I Heart Radio's How

0:38:51.520 --> 0:38:54.879
<v Speaker 1>Stuff Works. For more podcasts from my heart Radio, visit

0:38:54.920 --> 0:38:58.040
<v Speaker 1>the I heart Radio app, Apple Podcasts, or wherever you

0:38:58.080 --> 0:39:01.640
<v Speaker 1>listen to your favorite shows. Eight