1 00:00:07,440 --> 00:00:11,160 Speaker 1: In five years, we'll legally own our own thoughts. That's 2 00:00:11,200 --> 00:00:15,560 Speaker 1: a premise of today's conversation. I'm Asimazar. Welcome to the 3 00:00:15,600 --> 00:00:28,640 Speaker 1: Exponentially podcast. In the past five years, over a billion 4 00:00:28,680 --> 00:00:31,560 Speaker 1: dollars has been invested in developing new devices that can 5 00:00:31,600 --> 00:00:34,680 Speaker 1: read or even manipulate our mental states. They can help 6 00:00:34,760 --> 00:00:37,840 Speaker 1: us relax, learn, or reduce pain, and as they do, 7 00:00:38,159 --> 00:00:41,239 Speaker 1: they harvest data. So how can we make use of 8 00:00:41,280 --> 00:00:44,440 Speaker 1: this technology without firms taking advantage of us? Do we 9 00:00:44,479 --> 00:00:47,199 Speaker 1: need a new fundamental human right, a right to our 10 00:00:47,280 --> 00:00:51,880 Speaker 1: mental privacy? To discuss the ethics of this emerging neurotechnology. 11 00:00:52,040 --> 00:01:06,759 Speaker 1: There's no one more qualified than Professor Nita Farahari. Nita, 12 00:01:06,800 --> 00:01:10,280 Speaker 1: you're a professor of law and philosophy, and you got 13 00:01:10,319 --> 00:01:15,480 Speaker 1: there by way of genetics and cell biology. Did you 14 00:01:15,520 --> 00:01:16,560 Speaker 1: have much fun at college? 15 00:01:17,040 --> 00:01:17,520 Speaker 2: I did. 16 00:01:17,560 --> 00:01:20,840 Speaker 3: I probably had too much fun at college, But you know, 17 00:01:21,280 --> 00:01:25,040 Speaker 3: I came into college already really enamored with genetics and 18 00:01:25,080 --> 00:01:29,680 Speaker 3: behavioral sciences, and while I was there, ended up doing 19 00:01:29,760 --> 00:01:33,960 Speaker 3: a lot in both genetics but also neuroscience and government 20 00:01:34,680 --> 00:01:37,480 Speaker 3: as an odd pairing between my interests. 21 00:01:37,319 --> 00:01:40,880 Speaker 1: Also, how did you show up to college with a 22 00:01:40,959 --> 00:01:44,000 Speaker 1: deep interest in those quite different subjects. 23 00:01:44,560 --> 00:01:48,160 Speaker 3: As a high school student, had taken a genetics class 24 00:01:48,200 --> 00:01:51,280 Speaker 3: and found that not only was I really interested in biology, 25 00:01:51,280 --> 00:01:56,080 Speaker 3: but I really enjoyed the mathematics, the modeling, but especially 26 00:01:56,600 --> 00:01:57,760 Speaker 3: the behavioral ties. 27 00:01:58,240 --> 00:01:59,600 Speaker 2: I found that fascinating. 28 00:02:00,200 --> 00:02:02,919 Speaker 3: But I also was a policy debater in high school, 29 00:02:03,000 --> 00:02:06,080 Speaker 3: and I was recruited to college for policy debate. And 30 00:02:06,120 --> 00:02:09,200 Speaker 3: I had spent summers as a geeky nerd at debate 31 00:02:09,240 --> 00:02:11,640 Speaker 3: camps and about debate camps. 32 00:02:12,080 --> 00:02:12,800 Speaker 2: I mean, they were fun. 33 00:02:12,880 --> 00:02:17,600 Speaker 3: I enjoyed it, but it's a geeky endeavor. And the 34 00:02:17,680 --> 00:02:20,639 Speaker 3: result was I was very passionate about policy. I was 35 00:02:20,680 --> 00:02:24,040 Speaker 3: thinking about the implications of policies for society and for humanity, 36 00:02:24,320 --> 00:02:29,679 Speaker 3: thinking about the broader implications and applications of technology and science. 37 00:02:30,520 --> 00:02:32,639 Speaker 3: I think I sort of didn't realize it at the time, 38 00:02:32,639 --> 00:02:34,680 Speaker 3: but was destined to follow the path that I ultimately did. 39 00:02:34,880 --> 00:02:40,600 Speaker 1: You've turned your attention to one of science's remaining frontiers. It's, 40 00:02:41,680 --> 00:02:44,119 Speaker 1: in a sense, the last bastion of our freedom. It's 41 00:02:44,160 --> 00:02:47,960 Speaker 1: the nature of our brain, our cognition, and our mental state. 42 00:02:48,040 --> 00:02:49,920 Speaker 1: And I wanted to share a story with you. A 43 00:02:49,960 --> 00:02:52,560 Speaker 1: few years ago, I was sent a headset from a 44 00:02:52,600 --> 00:02:56,240 Speaker 1: startup that was meant to stimulate your brain to improve 45 00:02:56,320 --> 00:03:00,000 Speaker 1: your cognitive performance, and you put it on your hair 46 00:03:00,080 --> 00:03:03,240 Speaker 1: and it would zap you with some direct current, and 47 00:03:03,280 --> 00:03:06,160 Speaker 1: you know, I was too scared to use so I 48 00:03:06,240 --> 00:03:06,520 Speaker 1: put it. 49 00:03:06,520 --> 00:03:07,480 Speaker 2: That's probably a good thing. 50 00:03:08,800 --> 00:03:11,240 Speaker 1: I put it back in its box and I now 51 00:03:11,320 --> 00:03:13,360 Speaker 1: use it as a shelf for my print up. 52 00:03:13,440 --> 00:03:15,000 Speaker 3: It's probably a good thing that you didn't use that 53 00:03:15,040 --> 00:03:17,880 Speaker 3: one back in the day, because we don't really have 54 00:03:17,919 --> 00:03:21,400 Speaker 3: a very good understanding of the zapping your brain. So 55 00:03:21,840 --> 00:03:25,400 Speaker 3: as you think, as you do anything, neurons are firing 56 00:03:25,440 --> 00:03:29,280 Speaker 3: in your brain. They give off tiny electrical discharges. And 57 00:03:29,840 --> 00:03:34,720 Speaker 3: when you're doing anything from feeling to smiling, to thinking 58 00:03:34,800 --> 00:03:37,040 Speaker 3: to doing a math problem in your head, hundreds of 59 00:03:37,120 --> 00:03:40,360 Speaker 3: thousands of neurons are firing in your brain giving off 60 00:03:40,640 --> 00:03:42,280 Speaker 3: concurrent electrical discharge. 61 00:03:42,520 --> 00:03:46,920 Speaker 1: And so we can measure those electrical signals. I guess 62 00:03:46,160 --> 00:03:49,840 Speaker 1: that approach is the EEG. And if anyone is old 63 00:03:49,920 --> 00:03:54,400 Speaker 1: enough to remember Ghostbusters, Rick Morana's character wears he's wired 64 00:03:54,480 --> 00:03:58,240 Speaker 1: up to one. That's right early on, and yes, we 65 00:03:58,320 --> 00:04:01,880 Speaker 1: can we can measure those electrical impulses and also their 66 00:04:01,920 --> 00:04:05,040 Speaker 1: waveform and whereabouts in the brain that's right, they're happening. 67 00:04:05,080 --> 00:04:05,440 Speaker 2: That's right. 68 00:04:05,480 --> 00:04:08,640 Speaker 3: Now, if you're using consumer grade electro and sepilography or EEG, 69 00:04:09,280 --> 00:04:11,640 Speaker 3: you're going to have far fewer electrodes, and so it's 70 00:04:11,640 --> 00:04:14,560 Speaker 3: really the average across the entire brain rather than picking 71 00:04:14,640 --> 00:04:17,000 Speaker 3: up from a specific brain region. You might have it 72 00:04:17,040 --> 00:04:20,760 Speaker 3: in the form of earbuds or headphones or headbands, and 73 00:04:20,800 --> 00:04:23,599 Speaker 3: they're picking up the averages of those waveforms, and then 74 00:04:24,120 --> 00:04:29,520 Speaker 3: those averages, through software and advances and artificial intelligence, can 75 00:04:29,640 --> 00:04:32,719 Speaker 3: then say Okay, this is happy, this is sad, this 76 00:04:32,880 --> 00:04:35,640 Speaker 3: is paying attention, this is fatigue, this is mind wandering. 77 00:04:35,680 --> 00:04:39,520 Speaker 3: So they're kind of big brain states. They're not very 78 00:04:39,560 --> 00:04:41,520 Speaker 3: precise kind of mind reading, right. 79 00:04:41,720 --> 00:04:45,680 Speaker 1: So those are all emotional states that you could imagine 80 00:04:46,120 --> 00:04:49,520 Speaker 1: matter to students who are studying as people who are 81 00:04:50,279 --> 00:04:54,960 Speaker 1: working in desk based jobs are actually in non desk 82 00:04:55,040 --> 00:04:56,320 Speaker 1: based jobs in the field. 83 00:04:56,520 --> 00:04:56,680 Speaker 2: Right. 84 00:04:57,080 --> 00:05:01,880 Speaker 3: So already this particular company has partnered with a number 85 00:05:01,920 --> 00:05:06,480 Speaker 3: of corporations as an enterprise solution where if it's offered 86 00:05:06,520 --> 00:05:08,560 Speaker 3: as part of a brain wellness program, for example, to 87 00:05:08,600 --> 00:05:11,640 Speaker 3: allow an employee to be able to train their focus. 88 00:05:11,680 --> 00:05:15,360 Speaker 3: People are really distracted in today's world, right, and they 89 00:05:15,360 --> 00:05:18,560 Speaker 3: have so much context switching. You're on your computer, you 90 00:05:18,600 --> 00:05:21,200 Speaker 3: then quickly go buy something for your kid's birthday party. 91 00:05:21,720 --> 00:05:25,280 Speaker 3: You remember you get a notification on social media, and 92 00:05:25,400 --> 00:05:29,320 Speaker 3: that context switching is costly for your ability to focus. 93 00:05:29,520 --> 00:05:33,960 Speaker 1: And it's very hard to judge in the moment or 94 00:05:34,000 --> 00:05:36,960 Speaker 1: even after the fact, when you were concentrating well and 95 00:05:37,040 --> 00:05:41,120 Speaker 1: actually whether you were genuinely in a moment of flow 96 00:05:41,720 --> 00:05:43,520 Speaker 1: or a moment where you've blocked out the rest of 97 00:05:43,560 --> 00:05:47,039 Speaker 1: the world. So what you have here is a more 98 00:05:47,040 --> 00:05:50,320 Speaker 1: objective measure of where you might be actually, in the 99 00:05:50,320 --> 00:05:53,360 Speaker 1: same way that smart watches can really give you a 100 00:05:53,400 --> 00:05:55,239 Speaker 1: sense of whether you actually did walk the ten thousand 101 00:05:55,279 --> 00:05:55,840 Speaker 1: steps or not. 102 00:05:56,040 --> 00:05:58,840 Speaker 3: I was talking with a company that has used this 103 00:05:58,960 --> 00:06:02,760 Speaker 3: technology on employees where they were trying to make managerial 104 00:06:02,839 --> 00:06:06,200 Speaker 3: level decisions about work from home policies versus work in 105 00:06:06,240 --> 00:06:08,200 Speaker 3: the office, and they were looking at some of the 106 00:06:08,200 --> 00:06:10,400 Speaker 3: brain data to see the extent to which people were 107 00:06:10,800 --> 00:06:13,279 Speaker 3: more distracted or better able to focus in a home 108 00:06:13,320 --> 00:06:17,280 Speaker 3: based environment versus in the office environment. Or you know, 109 00:06:17,320 --> 00:06:19,680 Speaker 3: you think that you're really a morning person, but that's 110 00:06:19,680 --> 00:06:21,520 Speaker 3: when you're in the best data flow, and it turns 111 00:06:21,520 --> 00:06:24,000 Speaker 3: out your best working hours are like three to five 112 00:06:24,040 --> 00:06:24,720 Speaker 3: in the afternoon. 113 00:06:24,960 --> 00:06:27,840 Speaker 1: What happens to people when they get told that, after 114 00:06:28,080 --> 00:06:31,600 Speaker 1: years of thinking that they were a morning person, they 115 00:06:31,600 --> 00:06:33,520 Speaker 1: turn out to be a light out? I mean, how 116 00:06:33,520 --> 00:06:34,080 Speaker 1: do they feel? 117 00:06:34,720 --> 00:06:34,919 Speaker 2: You know? 118 00:06:35,000 --> 00:06:39,200 Speaker 3: I think for some people it's helpful, right, Oh, that's 119 00:06:39,200 --> 00:06:42,839 Speaker 3: why I'm stuck. That insight is so incredibly powerful for me. 120 00:06:43,279 --> 00:06:45,160 Speaker 3: For other people, it causes self doubt, a bit of 121 00:06:45,160 --> 00:06:48,080 Speaker 3: an existential crisis. To what extent can you trust your 122 00:06:48,120 --> 00:06:52,120 Speaker 3: gut instinct, your so called inner voice when the data 123 00:06:52,160 --> 00:06:54,880 Speaker 3: doesn't stack up or measure up with what your own 124 00:06:55,040 --> 00:06:57,960 Speaker 3: sense of self is. And then for others there's just doubt. No, no, 125 00:06:58,000 --> 00:07:01,240 Speaker 3: the technology must be wrong because my own perception of 126 00:07:01,240 --> 00:07:03,920 Speaker 3: self is much more accurate than any technology could ever measure. 127 00:07:04,000 --> 00:07:06,560 Speaker 1: So these are all consumer grade devices that are in 128 00:07:06,600 --> 00:07:09,440 Speaker 1: a way leaking into the workplace. But of course there 129 00:07:09,480 --> 00:07:12,640 Speaker 1: are a whole range of different neurotechnologies, some of which 130 00:07:12,680 --> 00:07:17,200 Speaker 1: are much more complex and sophisticated used in healthcare, some 131 00:07:17,240 --> 00:07:20,200 Speaker 1: of which are just not as portable as these devices. 132 00:07:20,520 --> 00:07:23,840 Speaker 3: These right now primarily or entertainment or very low stakes 133 00:07:23,840 --> 00:07:27,600 Speaker 3: decision making. They're not diagnosing a concussion on the football 134 00:07:27,600 --> 00:07:31,960 Speaker 3: field or for a person with epileptic seizures, maintaining real 135 00:07:32,040 --> 00:07:34,440 Speaker 3: time information about what's happening in their brains, or for 136 00:07:34,520 --> 00:07:38,160 Speaker 3: diagnostic purposes for Alzheimer's disease or Parkinson's or other kinds 137 00:07:38,160 --> 00:07:42,080 Speaker 3: of conditions, and a lot of the other more sophisticated neurotechnology. 138 00:07:42,080 --> 00:07:45,720 Speaker 3: And by sophisticated, I just mean it has better signal 139 00:07:45,760 --> 00:07:49,600 Speaker 3: to noise. It's able to more precisely pinpoint in the 140 00:07:49,600 --> 00:07:52,200 Speaker 3: brain where something is happening. You know, you have something 141 00:07:52,240 --> 00:07:55,240 Speaker 3: that gives you clinical grade information about brain activity or 142 00:07:55,240 --> 00:07:58,640 Speaker 3: brain disorder. And you know those really run the gimmut 143 00:07:58,680 --> 00:08:03,280 Speaker 3: from electrical stimula or implanted neurotechnology, where there's been tremendous 144 00:08:03,320 --> 00:08:07,720 Speaker 3: advances in the past few years. Companies that are investing 145 00:08:07,840 --> 00:08:10,600 Speaker 3: in the ability for somebody who's a paraplegic to be 146 00:08:10,640 --> 00:08:15,160 Speaker 3: able to navigate their environment, or a person who has 147 00:08:15,240 --> 00:08:17,640 Speaker 3: lost the ability to communicate to be able to speak 148 00:08:18,000 --> 00:08:21,120 Speaker 3: their mind by using implanted neurotechnology. 149 00:08:21,120 --> 00:08:24,560 Speaker 1: To these are the so called invasive neurotechnology. In other words, 150 00:08:25,040 --> 00:08:29,080 Speaker 1: they're physically in the brain. They probably require you to 151 00:08:29,080 --> 00:08:30,800 Speaker 1: go into surgery to fit them. 152 00:08:31,040 --> 00:08:34,920 Speaker 3: They carry for obviously greater risks because they entail surgery. 153 00:08:35,000 --> 00:08:37,160 Speaker 3: But what you can get from going deep into the 154 00:08:37,160 --> 00:08:40,120 Speaker 3: brain right now is obviously much more powerful than having 155 00:08:40,120 --> 00:08:42,160 Speaker 3: to pick up a signal that goes through the scalp, 156 00:08:42,760 --> 00:08:45,880 Speaker 3: through the skull where it's degraded over time, and far 157 00:08:46,000 --> 00:08:47,120 Speaker 3: lesson it can be picked up. 158 00:08:47,600 --> 00:08:50,640 Speaker 1: And what's the role of what I imagine as the gold 159 00:08:50,679 --> 00:08:54,440 Speaker 1: standard of all of this, the MRI machine. You lie down, 160 00:08:54,559 --> 00:08:57,240 Speaker 1: you go into this tunnel that these very powerful magnets. 161 00:08:57,240 --> 00:08:59,640 Speaker 1: There's a lot of clanking, but then you get these 162 00:09:00,320 --> 00:09:03,840 Speaker 1: very small slices of your brain and the blood flow 163 00:09:03,920 --> 00:09:07,920 Speaker 1: activity within them. And these machines are in big they 164 00:09:07,960 --> 00:09:11,120 Speaker 1: weigh thousands of pounds, they cost millions of dollars. Is 165 00:09:11,120 --> 00:09:14,840 Speaker 1: that the gold standard to which we try to reference everything. 166 00:09:14,760 --> 00:09:19,120 Speaker 3: Functional magnetic resonance imaging machines. They can peer deeply into 167 00:09:19,160 --> 00:09:21,079 Speaker 3: the brain. They don't have very good what we call 168 00:09:21,120 --> 00:09:24,600 Speaker 3: temporal resolution, which is they're not fast, they're not measuring 169 00:09:24,720 --> 00:09:25,959 Speaker 3: rapid changes across the. 170 00:09:25,880 --> 00:09:30,920 Speaker 1: Brain like high high resolution photographs. Yes, rather than a film. 171 00:09:30,720 --> 00:09:33,840 Speaker 3: That's right, and so, but the ability to peer deeply 172 00:09:33,920 --> 00:09:37,040 Speaker 3: into the brain and to be able to see at 173 00:09:37,360 --> 00:09:39,800 Speaker 3: literally like this is what's happening, or this is what's 174 00:09:39,840 --> 00:09:42,160 Speaker 3: going wrong. That is the gold standard for at least 175 00:09:42,160 --> 00:09:43,400 Speaker 3: diagnosing some things. 176 00:09:43,720 --> 00:09:48,960 Speaker 1: It seems that in recent years we've started to close 177 00:09:49,200 --> 00:09:54,000 Speaker 1: the loop from lots of different ways to read brain 178 00:09:54,080 --> 00:09:59,360 Speaker 1: states through to how we can then change those brain states. 179 00:10:00,040 --> 00:10:02,280 Speaker 1: Talk about some of these implants. It seems like some 180 00:10:02,360 --> 00:10:05,679 Speaker 1: of the technologies that you've been discussing are as much 181 00:10:05,720 --> 00:10:08,439 Speaker 1: about reading the brain state as they are about imposing 182 00:10:08,480 --> 00:10:09,640 Speaker 1: a new brain state on us. 183 00:10:09,760 --> 00:10:10,559 Speaker 2: That's absolutely right. 184 00:10:10,600 --> 00:10:13,800 Speaker 3: So, for example, there was a woman who was suffering 185 00:10:13,800 --> 00:10:17,840 Speaker 3: from severe depression and she described herself as being at 186 00:10:17,880 --> 00:10:19,760 Speaker 3: the end of her life, no longer in a life 187 00:10:19,760 --> 00:10:23,760 Speaker 3: worth living, and neuroscientists and physicians were able to track 188 00:10:23,880 --> 00:10:27,840 Speaker 3: the specific patterns of brain activity and then use electrical 189 00:10:27,920 --> 00:10:31,360 Speaker 3: stimulation in the brain to reset that brain activity like 190 00:10:31,400 --> 00:10:36,000 Speaker 3: a pacemaker for the brain. That enabled her to recover 191 00:10:36,280 --> 00:10:39,520 Speaker 3: her will to live, to overcome depression, and have a 192 00:10:39,559 --> 00:10:43,200 Speaker 3: typical range of emotions instead. Wow, that's pretty extraordinary. 193 00:10:43,280 --> 00:10:47,280 Speaker 1: That's extraordinary because right now the disciplines of neuroscience and 194 00:10:47,280 --> 00:10:51,960 Speaker 1: psychology are are rather different, Yes, and they're separate. And 195 00:10:52,080 --> 00:10:56,560 Speaker 1: what you've given an example of is using neuroscience to 196 00:10:56,800 --> 00:10:59,720 Speaker 1: try to tackle something that would have traditionally just been 197 00:10:59,760 --> 00:11:09,880 Speaker 1: seeing there's a statological problem. That's right, So let me 198 00:11:09,920 --> 00:11:13,640 Speaker 1: summarize where we are. We've got this fantastic science and 199 00:11:13,720 --> 00:11:16,720 Speaker 1: engineering which is progressing, and it's giving us a new 200 00:11:16,800 --> 00:11:21,760 Speaker 1: class of neurotechnologies which we can use for diagnostics, for therapeutics, 201 00:11:21,880 --> 00:11:26,679 Speaker 1: for augmentation. But these are also dual use technologies. They 202 00:11:26,720 --> 00:11:30,760 Speaker 1: could be applied in ways that are harmful. Perhaps. I 203 00:11:30,840 --> 00:11:36,240 Speaker 1: remember reading about a school in China, for example, which 204 00:11:36,360 --> 00:11:39,240 Speaker 1: for a short period of time was putting on a 205 00:11:39,280 --> 00:11:42,599 Speaker 1: brain monitor on the kids and allowing the teachers to 206 00:11:42,640 --> 00:11:45,160 Speaker 1: figure out which ones had drifted off. Now, I think 207 00:11:45,200 --> 00:11:48,200 Speaker 1: it's a right for a young child to zone out 208 00:11:48,200 --> 00:11:50,920 Speaker 1: as school. I mean, we all did. What are the 209 00:11:50,920 --> 00:11:53,400 Speaker 1: other examples that you can think of that are showing 210 00:11:53,400 --> 00:11:55,240 Speaker 1: the potential drawbacks of this technology? 211 00:11:55,640 --> 00:11:58,280 Speaker 3: I think anytime you're looking at, for example, coerced use 212 00:11:58,280 --> 00:12:02,400 Speaker 3: of it that's in the workplace or in a school setting, 213 00:12:02,960 --> 00:12:06,720 Speaker 3: that it's deeply problematic. And that's because not only do 214 00:12:06,720 --> 00:12:08,240 Speaker 3: you have a right to have your mind wander, but 215 00:12:08,320 --> 00:12:11,160 Speaker 3: you have a right to think freely. Right the ability 216 00:12:11,200 --> 00:12:14,840 Speaker 3: to be able to have a dissident thought or have 217 00:12:14,920 --> 00:12:19,640 Speaker 3: a creative thought or even fantasize about the coworker in 218 00:12:19,760 --> 00:12:21,600 Speaker 3: your office, so you have a bit of a crush on, 219 00:12:21,720 --> 00:12:22,320 Speaker 3: like there's. 220 00:12:22,200 --> 00:12:22,959 Speaker 1: I work on my own. 221 00:12:23,400 --> 00:12:25,360 Speaker 2: Well there you know, no crushes, no qrushes for you. 222 00:12:25,480 --> 00:12:28,400 Speaker 3: But you know these flashes of bad thoughts you have 223 00:12:28,440 --> 00:12:30,280 Speaker 3: For a moment, somebody cuts you off in traffic and 224 00:12:30,320 --> 00:12:32,600 Speaker 3: you have a bad thought that pops into your head. Right, 225 00:12:32,640 --> 00:12:36,920 Speaker 3: being able to think freely without fear of having your 226 00:12:37,120 --> 00:12:40,440 Speaker 3: feelings or thoughts intercepted or manipulated or punished, I think 227 00:12:40,520 --> 00:12:43,800 Speaker 3: is critical to human flourishing. In other context, it's already 228 00:12:44,040 --> 00:12:46,800 Speaker 3: being used in these kind of coercive ways, like in 229 00:12:47,080 --> 00:12:51,040 Speaker 3: police interrogations where people's brains are being interrogated to see 230 00:12:51,080 --> 00:12:54,800 Speaker 3: if they recognize. Yes, it's already happening. There's a company 231 00:12:54,880 --> 00:12:57,200 Speaker 3: in the US that has been selling their technology to 232 00:12:57,800 --> 00:13:02,080 Speaker 3: law enforcement agencies worldwide. Whether it's that technology which has 233 00:13:02,120 --> 00:13:05,120 Speaker 3: been used in places like the UAE or in Singapore, 234 00:13:06,200 --> 00:13:08,640 Speaker 3: is being tested out in Australia, and there have been 235 00:13:08,760 --> 00:13:12,000 Speaker 3: criminal convictions that have occurred as a result so called 236 00:13:12,320 --> 00:13:16,280 Speaker 3: criminal confessions in response to brain based interrogations. It's already 237 00:13:16,280 --> 00:13:19,920 Speaker 3: happening worldwide. Those are I think very chilling applications of 238 00:13:19,960 --> 00:13:20,760 Speaker 3: this technology. 239 00:13:21,000 --> 00:13:26,920 Speaker 1: I've read a slightly scary example of a beer company 240 00:13:27,000 --> 00:13:30,640 Speaker 1: trying to change the way we dream so that we 241 00:13:30,679 --> 00:13:33,360 Speaker 1: would dream about their beer. I mean, how does that 242 00:13:33,400 --> 00:13:34,200 Speaker 1: even work? 243 00:13:34,520 --> 00:13:36,800 Speaker 3: So neuromarketing has been around for a while. There are 244 00:13:36,800 --> 00:13:39,200 Speaker 3: certain periods of time, like when you just wake up 245 00:13:39,360 --> 00:13:43,280 Speaker 3: from a dream, that you're more suggestible. And by more suggestible, 246 00:13:43,320 --> 00:13:46,600 Speaker 3: I mean your mind can be changed more easily. Yes, 247 00:13:46,840 --> 00:13:51,679 Speaker 3: And so in that suggestible state, what some dream researchers 248 00:13:51,720 --> 00:13:54,880 Speaker 3: were hired to do or to figure out could your 249 00:13:55,040 --> 00:13:59,120 Speaker 3: dreams be used as a time to incubate particular ideas. 250 00:13:59,320 --> 00:14:02,000 Speaker 3: They call this dream incubation. So this particular beer company 251 00:14:02,280 --> 00:14:06,160 Speaker 3: they had as the kind of logo associations of mountains 252 00:14:06,200 --> 00:14:08,280 Speaker 3: and streams, and they want you to think of their 253 00:14:08,320 --> 00:14:10,000 Speaker 3: beer and think being refreshed. 254 00:14:10,240 --> 00:14:14,160 Speaker 1: I'm almost speechless. It really sounds horrible, and it does. 255 00:14:14,280 --> 00:14:16,680 Speaker 3: Yeah, No, it does sound horrible, and I've gone to 256 00:14:16,679 --> 00:14:19,240 Speaker 3: the most dystopian place with it possible. So now imagine 257 00:14:19,240 --> 00:14:22,760 Speaker 3: you're wearing your overnight brain centers. Because there are earbuds 258 00:14:22,800 --> 00:14:25,280 Speaker 3: that are designed to detect your sleep and to help 259 00:14:25,280 --> 00:14:28,000 Speaker 3: you monitor your own sleep. You have your you know 260 00:14:28,120 --> 00:14:31,560 Speaker 3: speaker that's listening in your bedroom. They're connected together at 261 00:14:31,560 --> 00:14:34,280 Speaker 3: the moment at which your most suggestible, a soundscape starts 262 00:14:34,280 --> 00:14:36,640 Speaker 3: to play without you even realizing it. And this is, 263 00:14:36,840 --> 00:14:39,760 Speaker 3: you know, the newest place that people pitch their advertisements. 264 00:14:40,000 --> 00:14:44,560 Speaker 1: That logic is completely inverted. The moment when we're most 265 00:14:44,600 --> 00:14:47,520 Speaker 1: suggestible is the moment when there should be. 266 00:14:47,480 --> 00:14:50,359 Speaker 2: No right from us now one hundred. 267 00:14:50,080 --> 00:14:53,480 Speaker 3: Percent agree right? This is just like the dystopian vision 268 00:14:53,520 --> 00:14:57,120 Speaker 3: of this is. If advertisemers are trying to find the 269 00:14:57,120 --> 00:15:00,600 Speaker 3: moment that you are most likely to develop positive associations 270 00:15:00,600 --> 00:15:03,040 Speaker 3: with their brands or their products, and there are no 271 00:15:03,240 --> 00:15:06,880 Speaker 3: regulations that would prevent them from being able to commodify 272 00:15:06,960 --> 00:15:09,840 Speaker 3: your brain data and to target you with advertisements, then 273 00:15:09,840 --> 00:15:11,800 Speaker 3: why wouldn't they right? And the only thing that would 274 00:15:11,800 --> 00:15:14,560 Speaker 3: stop them from doing so is ethical norms that would 275 00:15:14,560 --> 00:15:17,560 Speaker 3: strongly develop against doing so and legal rights that would 276 00:15:17,560 --> 00:15:19,360 Speaker 3: protect people from having that happen to them. 277 00:15:19,680 --> 00:15:20,960 Speaker 2: If you could take. 278 00:15:20,800 --> 00:15:24,440 Speaker 3: A person who's suffering from trauma who voluntarily said like, yes, 279 00:15:24,520 --> 00:15:28,840 Speaker 3: I would like for treatments while I'm sleeping to incubate 280 00:15:28,880 --> 00:15:31,600 Speaker 3: positive memories or associations instead, it's not a bad thing. 281 00:15:31,640 --> 00:15:34,960 Speaker 3: And done a controlled research environment with consent that seems 282 00:15:35,000 --> 00:15:38,920 Speaker 3: potentially like an incredibly positive application of it, when instead 283 00:15:39,400 --> 00:15:43,080 Speaker 3: what you have is what seems like gimmicks. But I 284 00:15:43,240 --> 00:15:47,240 Speaker 3: worry that each instance of the use of neurotechnology in 285 00:15:47,320 --> 00:15:54,000 Speaker 3: these unexpected associations and unexpected places subtly and very perniciously 286 00:15:54,440 --> 00:15:57,760 Speaker 3: normalizes people to a future of neural surveillance where even 287 00:15:57,760 --> 00:15:59,400 Speaker 3: our brains are hacked and tracked. 288 00:15:59,720 --> 00:16:04,920 Speaker 1: These technologies are improving exponentially, and there are these combinations 289 00:16:05,040 --> 00:16:08,680 Speaker 1: as well. So I've been tracking a variety of experiments 290 00:16:08,760 --> 00:16:13,960 Speaker 1: where scientists have connected the readings from fMRI machines to 291 00:16:14,560 --> 00:16:18,080 Speaker 1: different types of AI, and they've been able to reconstruct 292 00:16:18,480 --> 00:16:20,920 Speaker 1: the image that you've been thinking about. You've been thinking 293 00:16:20,920 --> 00:16:22,880 Speaker 1: about a church, and they can produce a sort of 294 00:16:22,920 --> 00:16:26,240 Speaker 1: blurry church. And over the last four or five years 295 00:16:26,640 --> 00:16:29,200 Speaker 1: that church has got sharper and sharper and more precise, 296 00:16:29,840 --> 00:16:32,800 Speaker 1: and even more recently, scientists have been able to look 297 00:16:32,840 --> 00:16:38,360 Speaker 1: at fMRI readings and predict the words that somebody was 298 00:16:38,400 --> 00:16:40,920 Speaker 1: thinking about. Now, of course, an fMRI machine is this 299 00:16:41,040 --> 00:16:44,160 Speaker 1: huge machine, not that practical, but the point being that 300 00:16:44,240 --> 00:16:47,880 Speaker 1: once we are able to correlate activity as we see 301 00:16:47,880 --> 00:16:51,960 Speaker 1: it through an fMRI machine to particular sequences of words 302 00:16:52,160 --> 00:16:56,160 Speaker 1: or pictures. We can then find easier to read signals 303 00:16:56,440 --> 00:16:59,960 Speaker 1: and then without needing to pop you into an fMRI machine, 304 00:17:00,000 --> 00:17:03,080 Speaker 1: start to extract those thoughts or those pictures. 305 00:17:03,280 --> 00:17:03,600 Speaker 2: Yeah. 306 00:17:03,640 --> 00:17:07,040 Speaker 3: So there was a recent study that was done that 307 00:17:07,760 --> 00:17:11,160 Speaker 3: was really a leap an advance in this area using 308 00:17:11,200 --> 00:17:14,000 Speaker 3: the advances in generative AI, and were able with a 309 00:17:14,080 --> 00:17:17,640 Speaker 3: very high degree of accuracy to reconstruct continuous language from 310 00:17:17,640 --> 00:17:21,840 Speaker 3: the brain. They were then curious as to whether those 311 00:17:21,880 --> 00:17:25,600 Speaker 3: same findings could apply to a different portable system called 312 00:17:25,800 --> 00:17:29,680 Speaker 3: f near's functional near infrared spectroscopy, which picks up blood 313 00:17:29,680 --> 00:17:32,479 Speaker 3: flow changes in the brain just like aphemeridas. Could it 314 00:17:32,520 --> 00:17:34,240 Speaker 3: apply in that context as well? 315 00:17:34,400 --> 00:17:37,879 Speaker 1: So blood flow being the key thing that appears to 316 00:17:37,880 --> 00:17:40,040 Speaker 1: connect to what we're thinking. 317 00:17:39,880 --> 00:17:41,800 Speaker 3: They trained it on f nears to see if it 318 00:17:41,840 --> 00:17:43,520 Speaker 3: worked in that context, and it did. 319 00:17:43,880 --> 00:17:48,440 Speaker 1: It sounds magic. It is a way of peering into 320 00:17:48,480 --> 00:17:51,720 Speaker 1: the brain using light. It's sort of infrared light are 321 00:17:51,760 --> 00:17:53,879 Speaker 1: the kind that might come out of your TV remote control. 322 00:17:54,119 --> 00:17:56,879 Speaker 3: There are others who are working on something like a 323 00:17:56,920 --> 00:18:00,400 Speaker 3: bike helmet that would have FEARS and enable us sortably 324 00:18:00,520 --> 00:18:03,280 Speaker 3: to be able to pick up even potentially our very 325 00:18:03,359 --> 00:18:06,240 Speaker 3: thoughts from our brain that could be decoded using these 326 00:18:06,280 --> 00:18:07,600 Speaker 3: advances and technology. 327 00:18:07,680 --> 00:18:10,320 Speaker 1: And of course, hundreds of millions of us have these 328 00:18:10,359 --> 00:18:13,720 Speaker 1: smart watches that actually have quite cheap sensors in them 329 00:18:13,880 --> 00:18:18,200 Speaker 1: and yet can be really accurate for measuring things like blood, 330 00:18:18,240 --> 00:18:23,120 Speaker 1: oxygenation or pulse and all sorts of other biomarkers. So 331 00:18:23,160 --> 00:18:29,119 Speaker 1: we've got some expertise in taking lower cost, low fidelity 332 00:18:29,119 --> 00:18:32,200 Speaker 1: signals and turning them into more reliable. 333 00:18:31,720 --> 00:18:34,080 Speaker 3: Signals, that's right, And to be able to filter out 334 00:18:34,119 --> 00:18:37,080 Speaker 3: things like noise, even the ability to have the computation 335 00:18:37,560 --> 00:18:39,320 Speaker 3: which used to be very difficult to do. You'd need 336 00:18:39,359 --> 00:18:42,080 Speaker 3: a huge room to do the kinds of crunching of 337 00:18:42,160 --> 00:18:45,119 Speaker 3: the data. They now are done on device literally like 338 00:18:45,119 --> 00:18:47,879 Speaker 3: a little device like this together with something like a 339 00:18:47,920 --> 00:18:51,879 Speaker 3: mobile device, you can do incredibly sophisticated both imaging and 340 00:18:51,960 --> 00:18:53,040 Speaker 3: decoding at the same time. 341 00:18:53,200 --> 00:18:58,960 Speaker 1: How long before there are going to be affordable portable 342 00:18:59,320 --> 00:19:04,679 Speaker 1: fnears devices that you might see employers buying for their 343 00:19:04,720 --> 00:19:05,840 Speaker 1: workforce that's. 344 00:19:05,680 --> 00:19:08,679 Speaker 3: Both affordable for them to buy and make sense in 345 00:19:08,720 --> 00:19:11,760 Speaker 3: some ways to distribute to employees. And that's for a 346 00:19:11,800 --> 00:19:15,560 Speaker 3: couple of applications. Those are to do things like for 347 00:19:15,640 --> 00:19:19,439 Speaker 3: brain wellness programs to decrease stress levels and employees, or 348 00:19:20,080 --> 00:19:23,960 Speaker 3: this one I use for focus. You can retrain your 349 00:19:23,960 --> 00:19:26,919 Speaker 3: brain to have longer periods of focus and increase the 350 00:19:26,960 --> 00:19:29,199 Speaker 3: activity in your prefrontal cortex, which is a form of 351 00:19:29,240 --> 00:19:30,280 Speaker 3: cognitive enhancement. 352 00:19:30,440 --> 00:19:33,399 Speaker 1: The idea need to view with your multiple degrees and 353 00:19:33,400 --> 00:19:37,119 Speaker 1: to professorships having even more focus. 354 00:19:38,880 --> 00:19:40,119 Speaker 2: It's an unfair advantage. 355 00:19:40,119 --> 00:19:50,119 Speaker 1: It is. It is. We have these very powerful technologies 356 00:19:50,600 --> 00:19:54,840 Speaker 1: that are improving exponentially, and we can see many of 357 00:19:54,880 --> 00:19:58,600 Speaker 1: the upsides. We can also see how they can be 358 00:19:58,720 --> 00:20:02,040 Speaker 1: used against us. The thing that strikes me about these 359 00:20:02,040 --> 00:20:06,720 Speaker 1: technologies in particular is that the brain is that last fortress, 360 00:20:06,280 --> 00:20:12,360 Speaker 1: and our inner self is the thing that defines us. 361 00:20:12,720 --> 00:20:16,640 Speaker 1: And yet we're at this turning point where that inner 362 00:20:16,760 --> 00:20:21,840 Speaker 1: space could become part of someone some business's private enclave, 363 00:20:22,000 --> 00:20:25,720 Speaker 1: or some governments or welly in fantasy. What do we 364 00:20:25,760 --> 00:20:26,400 Speaker 1: do about it? 365 00:20:26,520 --> 00:20:30,440 Speaker 3: So I worry about this deeply, and I worry that 366 00:20:30,440 --> 00:20:33,560 Speaker 3: that final private space, the space that I think is 367 00:20:33,600 --> 00:20:37,639 Speaker 3: so critical both for self awareness and for resilience, for 368 00:20:37,880 --> 00:20:41,600 Speaker 3: the ability to know truth from fiction. The emotional self 369 00:20:41,640 --> 00:20:46,280 Speaker 3: reflection and cultivation is at risk of brain transparency. 370 00:20:46,800 --> 00:20:49,960 Speaker 1: You mean the idea that we can just be seen 371 00:20:50,000 --> 00:20:51,120 Speaker 1: through entirely. 372 00:20:51,520 --> 00:20:52,520 Speaker 2: Essentially, right. 373 00:20:52,840 --> 00:20:57,080 Speaker 3: I think most people consider having that space of mental 374 00:20:57,119 --> 00:20:59,159 Speaker 3: reprieve being able to think about what you're going to 375 00:20:59,200 --> 00:21:03,040 Speaker 3: say next, with whom you share information with whom you're vulnerable. 376 00:21:03,400 --> 00:21:03,560 Speaker 2: Right. 377 00:21:03,640 --> 00:21:06,680 Speaker 3: The way we define intimacy and a lot of relationships 378 00:21:06,720 --> 00:21:10,480 Speaker 3: is by choosing what emotions, what thoughts, what secrets we 379 00:21:10,520 --> 00:21:12,560 Speaker 3: want to share with another person, and if all of 380 00:21:12,560 --> 00:21:15,800 Speaker 3: that can be revealed by decoding your brain activity, if 381 00:21:15,800 --> 00:21:18,679 Speaker 3: other people can have access to it, whether it's your 382 00:21:18,680 --> 00:21:20,440 Speaker 3: partner who says, no, no, I want you to prove 383 00:21:20,560 --> 00:21:22,800 Speaker 3: that you're in love with me, or you know, your 384 00:21:22,800 --> 00:21:25,679 Speaker 3: employer who says, you know, I need you to have 385 00:21:26,320 --> 00:21:28,760 Speaker 3: five hours of focus today. 386 00:21:28,560 --> 00:21:31,399 Speaker 1: Or show me you gave me one hundred percent that's. 387 00:21:31,320 --> 00:21:34,200 Speaker 3: Right, prove it to me, or you know, a lie 388 00:21:34,280 --> 00:21:37,720 Speaker 3: detection test by the governments, or the way you authenticate 389 00:21:37,760 --> 00:21:41,880 Speaker 3: yourself at borders is through brain transparency. I think this 390 00:21:42,000 --> 00:21:44,119 Speaker 3: final space of mental reprieve. 391 00:21:43,760 --> 00:21:44,280 Speaker 2: Is at risk. 392 00:21:44,720 --> 00:21:49,720 Speaker 1: Your suggestion is cognitive rights. What do you mean by that? So? 393 00:21:49,880 --> 00:21:53,120 Speaker 3: I believe that a right to cognitive liberty as an 394 00:21:53,119 --> 00:21:55,959 Speaker 3: international human right or right to self determination over our 395 00:21:56,000 --> 00:21:58,960 Speaker 3: brains and mental experiences, would give us both a right 396 00:21:59,040 --> 00:22:02,399 Speaker 3: to access and change our brains if we choose to 397 00:22:02,400 --> 00:22:05,639 Speaker 3: do so, but are also a right from interference with 398 00:22:05,720 --> 00:22:09,240 Speaker 3: our mental privacy and our freedom of thoughts. Those can 399 00:22:09,280 --> 00:22:13,359 Speaker 3: be simply updates to our existing interpretations of right. 400 00:22:13,240 --> 00:22:15,760 Speaker 1: Already in the Universal Declaration of Human Rights, the right 401 00:22:15,840 --> 00:22:18,480 Speaker 1: to privacy, the rights freedom of thought and belief, and 402 00:22:18,480 --> 00:22:21,640 Speaker 1: the right to self expression without undue influence. 403 00:22:21,800 --> 00:22:23,720 Speaker 3: You can look to the right to privacy and say 404 00:22:23,720 --> 00:22:25,840 Speaker 3: what we need to make explicit as right to mental 405 00:22:25,880 --> 00:22:27,199 Speaker 3: privacies included within it. 406 00:22:27,600 --> 00:22:28,359 Speaker 2: You can look to the. 407 00:22:28,400 --> 00:22:31,560 Speaker 3: Right to freedom of thoughts, which has currently been really 408 00:22:31,600 --> 00:22:34,600 Speaker 3: interpreted much more narrowly to be about freedom of religion 409 00:22:34,640 --> 00:22:38,080 Speaker 3: and belief, and say, no, no, this is also about interception, 410 00:22:38,240 --> 00:22:41,000 Speaker 3: manipulation and punishment of our thoughts. And we have a 411 00:22:41,040 --> 00:22:45,159 Speaker 3: collective right to self determination, a political right which really 412 00:22:46,040 --> 00:22:48,240 Speaker 3: if we look at all of the existing rights, we 413 00:22:48,280 --> 00:22:51,159 Speaker 3: can say an individual right to self determination is fundamental 414 00:22:51,200 --> 00:22:52,960 Speaker 3: to every right that is part of the. 415 00:22:53,000 --> 00:22:54,399 Speaker 2: UN Declaration of Human Rights. 416 00:22:54,640 --> 00:22:57,280 Speaker 3: So it's not that I think we need new rights, 417 00:22:57,480 --> 00:22:59,879 Speaker 3: it's that we need a new umbrella concept, which is 418 00:23:00,040 --> 00:23:03,280 Speaker 3: cognitive liberty to help us and direct us to update 419 00:23:03,280 --> 00:23:05,200 Speaker 3: our interpretation of existing rights. 420 00:23:05,440 --> 00:23:07,480 Speaker 1: The other side of all of that, of course, is 421 00:23:07,520 --> 00:23:11,920 Speaker 1: that these are much more powerful and useful technologies for 422 00:23:12,240 --> 00:23:16,240 Speaker 1: beneficial outcomes. So how do you propose drawing a line 423 00:23:16,280 --> 00:23:20,840 Speaker 1: between the acceptable and unacceptable uses of these newer technologies. 424 00:23:21,200 --> 00:23:23,560 Speaker 3: So I have framed cognitive liberty is a right too 425 00:23:23,600 --> 00:23:25,560 Speaker 3: and write from and I think the right too is 426 00:23:25,600 --> 00:23:29,240 Speaker 3: critical because the truth is, we don't treat our brain 427 00:23:29,320 --> 00:23:31,919 Speaker 3: health and wellness nearly as seriously as we treat the 428 00:23:31,960 --> 00:23:34,960 Speaker 3: rest of our physical wellbeing. We don't have access to 429 00:23:35,160 --> 00:23:39,000 Speaker 3: information about our own biases and preferences, even our own 430 00:23:39,040 --> 00:23:42,720 Speaker 3: cognitive decline over time. Self insight, I think is powerful, 431 00:23:42,880 --> 00:23:45,560 Speaker 3: which is why it's a positive right to access information 432 00:23:45,600 --> 00:23:47,639 Speaker 3: about your brain, a positive right to be able to 433 00:23:47,720 --> 00:23:51,879 Speaker 3: use it. Notice me saying you right. It's about you 434 00:23:52,720 --> 00:23:56,920 Speaker 3: being able to access and use the technology, you having 435 00:23:56,960 --> 00:24:00,000 Speaker 3: control over your own brain data, it not being commode 436 00:24:00,320 --> 00:24:03,919 Speaker 3: and misused against you, and a right from other people 437 00:24:04,000 --> 00:24:08,000 Speaker 3: coercing you to use the technology or taking your brain data, 438 00:24:08,119 --> 00:24:10,919 Speaker 3: to analyze it, to mine it, to share it, and 439 00:24:10,920 --> 00:24:13,320 Speaker 3: to sell it. It's giving you and putting you in 440 00:24:13,359 --> 00:24:14,800 Speaker 3: the driver's seat of your own brain. 441 00:24:15,200 --> 00:24:17,400 Speaker 1: Even if we are in the driver's seat, we do 442 00:24:17,480 --> 00:24:21,760 Speaker 1: have precedence from other types of therapeutics. I'm thinking about 443 00:24:22,600 --> 00:24:27,920 Speaker 1: attention deficit disorder therapeutics. I'm thinking about antidepressants, which emerged 444 00:24:27,920 --> 00:24:31,359 Speaker 1: over the last thirty or forty years, and particularly in 445 00:24:31,359 --> 00:24:34,720 Speaker 1: Western markets, particularly in the United States, are heavily over 446 00:24:34,840 --> 00:24:39,000 Speaker 1: prescribed because it's easier to deal with some of these 447 00:24:39,000 --> 00:24:43,199 Speaker 1: issues through a prescription than perhaps figuring out how to 448 00:24:43,280 --> 00:24:48,520 Speaker 1: tackle those issues. These advanced neurotechniques will be more sophisticated, 449 00:24:48,600 --> 00:24:52,359 Speaker 1: more precise, more effective. So why wouldn't they fall foul 450 00:24:52,400 --> 00:24:56,600 Speaker 1: of the same type of behavior that sees them just 451 00:24:56,640 --> 00:24:59,200 Speaker 1: being used pervasively, even if we are notionally in the 452 00:24:59,280 --> 00:24:59,800 Speaker 1: driver's seat. 453 00:25:00,040 --> 00:25:02,920 Speaker 3: They could be right, I mean, I think that's the risk, 454 00:25:03,040 --> 00:25:06,000 Speaker 3: and there are risks to individuals using them to shortcut 455 00:25:06,080 --> 00:25:09,480 Speaker 3: their own process of self discovery and self awareness and 456 00:25:09,640 --> 00:25:14,159 Speaker 3: growth and emotional developments. It can be misused by others. 457 00:25:14,160 --> 00:25:16,840 Speaker 3: It can be misused by parents, well intentioned though they 458 00:25:16,880 --> 00:25:19,639 Speaker 3: may be, to try to redirect the brain activity and 459 00:25:19,680 --> 00:25:23,159 Speaker 3: brain development of their children. I think in order for 460 00:25:23,240 --> 00:25:27,240 Speaker 3: us to effectively realize the potential of this technology and society, 461 00:25:27,240 --> 00:25:29,399 Speaker 3: we have to not just have rights right, not just 462 00:25:29,480 --> 00:25:33,200 Speaker 3: have norms, but we need to also be substantially increasing 463 00:25:33,240 --> 00:25:37,720 Speaker 3: people's awareness of how their brains can be accessed and changed. 464 00:25:38,200 --> 00:25:42,359 Speaker 3: What does individual cognitive liberty and cultivating that and individuals 465 00:25:42,400 --> 00:25:44,080 Speaker 3: look like. What does it mean to cultivate it in 466 00:25:44,160 --> 00:25:47,680 Speaker 3: children or in the workplace, or to invest in cognitive 467 00:25:47,720 --> 00:25:52,320 Speaker 3: liberty for businesses and for corporate developments, for product developments, 468 00:25:52,400 --> 00:25:53,640 Speaker 3: for employee wellness. 469 00:25:53,880 --> 00:25:57,080 Speaker 1: Given the urgency the technologies are getting better and better 470 00:25:57,359 --> 00:26:02,520 Speaker 1: at exponential rates, I'm a bit perplexed about choosing the 471 00:26:02,680 --> 00:26:05,760 Speaker 1: UN as the route to do this. It's not an 472 00:26:05,840 --> 00:26:10,840 Speaker 1: organization that in recent years people would say is adept 473 00:26:10,880 --> 00:26:14,000 Speaker 1: at dealing with change, or indeed effective when it does 474 00:26:14,080 --> 00:26:16,720 Speaker 1: finally get round to doing it. So is that the 475 00:26:16,760 --> 00:26:19,280 Speaker 1: right way to approach this first? 476 00:26:19,320 --> 00:26:21,920 Speaker 3: It's not the only way, but as a starting place 477 00:26:21,960 --> 00:26:25,840 Speaker 3: to say, we need worldwide to recognize as an international 478 00:26:25,920 --> 00:26:27,760 Speaker 3: human rights that we have a right to cognitive liberty, 479 00:26:27,800 --> 00:26:30,720 Speaker 3: and that that simply directs us to update existing human 480 00:26:30,800 --> 00:26:33,840 Speaker 3: rights and our interpretation of it sets both a strong 481 00:26:34,119 --> 00:26:37,239 Speaker 3: legal norm which doesn't require everybody to come together. It 482 00:26:37,280 --> 00:26:41,200 Speaker 3: requires the existing oversight bodies like the Human Rights Committee 483 00:26:41,200 --> 00:26:44,359 Speaker 3: that oversees the International Covenant on Civil and Political Rights 484 00:26:44,760 --> 00:26:49,240 Speaker 3: to update their interpretation and application of existing rights to 485 00:26:49,320 --> 00:26:52,679 Speaker 3: protect people. Even if we don't succeed, meaning even if 486 00:26:52,720 --> 00:26:56,080 Speaker 3: the UN takes zero action in this space, that doesn't 487 00:26:56,119 --> 00:26:59,440 Speaker 3: prevent us in the United States and Europe and other 488 00:26:59,480 --> 00:27:03,959 Speaker 3: countries from interpreting existing human rights consistently with the idea 489 00:27:03,960 --> 00:27:06,000 Speaker 3: that there's a right to mental privacy, that freedom of 490 00:27:06,040 --> 00:27:08,560 Speaker 3: thought is broader, that we have an individual right to 491 00:27:08,600 --> 00:27:09,320 Speaker 3: self determination. 492 00:27:09,760 --> 00:27:14,760 Speaker 1: I mean, it strikes me that even if this isn't sufficient, 493 00:27:15,240 --> 00:27:19,040 Speaker 1: also self regulation that's right could be very, very valuable 494 00:27:19,080 --> 00:27:23,119 Speaker 1: if you're able to persuade the handful soon to be 495 00:27:23,160 --> 00:27:27,879 Speaker 1: dozens of companies making these technologies that cognitive rights matter. 496 00:27:27,920 --> 00:27:31,400 Speaker 1: That also creates some kind of a buttress for them 497 00:27:31,640 --> 00:27:32,479 Speaker 1: in the near future. 498 00:27:32,640 --> 00:27:33,320 Speaker 2: I think that's right. 499 00:27:33,359 --> 00:27:36,280 Speaker 3: I think that could be simple things in product design, 500 00:27:36,359 --> 00:27:40,399 Speaker 3: when you have multifunctional earbuds to be able to turn 501 00:27:40,480 --> 00:27:43,719 Speaker 3: off brainwave reading while you're taking a conference call if 502 00:27:43,760 --> 00:27:46,520 Speaker 3: you choose to do so, or to recognize the mental 503 00:27:46,520 --> 00:27:49,679 Speaker 3: privacy of their employees, and to say here's technology you 504 00:27:49,680 --> 00:27:52,879 Speaker 3: can use to improve your focus we won't collect the data, 505 00:27:53,160 --> 00:27:55,199 Speaker 3: we won't use it to make choices about you. 506 00:27:56,040 --> 00:27:59,359 Speaker 1: Now, the premise of our conversation is that within five years, 507 00:27:59,400 --> 00:28:03,200 Speaker 1: our thoughts could be legally protected. How likely do you 508 00:28:03,240 --> 00:28:04,840 Speaker 1: think this vision could become reality? 509 00:28:05,200 --> 00:28:08,639 Speaker 3: Well, I'm an optimist, I would say, and I believe 510 00:28:08,760 --> 00:28:12,040 Speaker 3: that we have to get this right, and that the 511 00:28:12,080 --> 00:28:14,399 Speaker 3: only way to get this right is to give people 512 00:28:14,560 --> 00:28:18,960 Speaker 3: strong rights and protections over their thoughts from being intercepted, manipulated, 513 00:28:19,000 --> 00:28:22,080 Speaker 3: and punished. Within five years, I think the technology is 514 00:28:22,080 --> 00:28:25,080 Speaker 3: going to be mature, and it's going to be widely 515 00:28:25,119 --> 00:28:28,520 Speaker 3: available at scale across society, which is why I believe 516 00:28:28,560 --> 00:28:32,760 Speaker 3: before that happens, we will make moves to recognize or 517 00:28:32,800 --> 00:28:35,600 Speaker 3: write a cognitive liberty to enable us to be empowered 518 00:28:35,640 --> 00:28:37,520 Speaker 3: by rather than oppressed by the technology. 519 00:28:37,920 --> 00:28:40,160 Speaker 1: Anita Farrehani, I don't have to tell you what I'm thinking, 520 00:28:40,280 --> 00:28:43,160 Speaker 1: but there has been a tremendous pleasure to speak to you. 521 00:28:43,240 --> 00:28:45,040 Speaker 2: Well, such a pleasure for me as well. Thank you. 522 00:28:51,000 --> 00:28:54,200 Speaker 1: Reflecting on my conversation with Nita, I can't help feeling 523 00:28:54,200 --> 00:28:58,120 Speaker 1: that the technologies we've discussed will be mainstream even faster 524 00:28:58,200 --> 00:29:01,440 Speaker 1: than we think, and two hundred million of us wear 525 00:29:01,520 --> 00:29:05,480 Speaker 1: smart watches, and these collect personal information every second of 526 00:29:05,520 --> 00:29:09,600 Speaker 1: the day. It's becoming a normal experience, and the exponential 527 00:29:09,640 --> 00:29:13,320 Speaker 1: improvement in technologies will allow devices like these to monitor 528 00:29:13,400 --> 00:29:16,880 Speaker 1: us more closely. Yes to the point of tracking our 529 00:29:16,880 --> 00:29:20,000 Speaker 1: mental states. So it does make sense to protect our 530 00:29:20,040 --> 00:29:24,120 Speaker 1: minds our thoughts. But as going via the slow moving 531 00:29:24,240 --> 00:29:27,440 Speaker 1: un the best route or can we together find a 532 00:29:27,440 --> 00:29:37,160 Speaker 1: better way? Thanks for listening to the exponentially podcast. If 533 00:29:37,160 --> 00:29:40,000 Speaker 1: you enjoy the show, please leave a review or rating. 534 00:29:40,160 --> 00:29:43,880 Speaker 1: It really does help others find us. The Exponentially podcast 535 00:29:43,960 --> 00:29:47,200 Speaker 1: is presented by me azeem as Are. The sound designer 536 00:29:47,280 --> 00:29:50,120 Speaker 1: is Will horricks The research was led by Chloe Ippah 537 00:29:50,120 --> 00:29:53,840 Speaker 1: and music composed by Emily Green and John Zarcone. The 538 00:29:53,880 --> 00:29:57,040 Speaker 1: show is produced by Frederick Cassela, Maria Garrilov and me 539 00:29:57,320 --> 00:30:00,760 Speaker 1: azeem as Are Special thanks to Sage Bauman, Grocott and 540 00:30:00,840 --> 00:30:05,280 Speaker 1: Magnus Henrickson. The executive producers are Andrew Barden, Adam Kamiski, 541 00:30:05,360 --> 00:30:09,640 Speaker 1: and Kyle Kramer. David Ravella is the managing editor. Exponentially 542 00:30:09,760 --> 00:30:11,960 Speaker 1: was created by Frederick Cassella and is an Eat the 543 00:30:11,960 --> 00:30:16,480 Speaker 1: pie I plus one limited production in association with Bloomberg LLC,