1 00:00:00,200 --> 00:00:04,560 Speaker 1: Now here's a highlight from coast to coast am on iHeartRadio. 2 00:00:04,960 --> 00:00:06,600 Speaker 1: So what do you think of the pulp er gene 3 00:00:06,640 --> 00:00:12,039 Speaker 1: believers to pray that artificial intelligence and robots always serve mankind? 4 00:00:12,080 --> 00:00:17,520 Speaker 1: What is he hinting at, Peter, Well, the big problem 5 00:00:17,760 --> 00:00:22,640 Speaker 1: is we have many people who have never studied the subject, 6 00:00:22,640 --> 00:00:25,599 Speaker 1: they've never worked in the subject. They look at it 7 00:00:25,640 --> 00:00:29,320 Speaker 1: from the outside with the zero understanding, and then they 8 00:00:30,600 --> 00:00:35,279 Speaker 1: coin the word pontificate about it, rightly or wrongly. I'm 9 00:00:35,320 --> 00:00:39,199 Speaker 1: not declining that people should have an opinion on the subject, 10 00:00:39,600 --> 00:00:44,839 Speaker 1: but the reality is all technology is absolutely and absolutely benign. 11 00:00:45,760 --> 00:00:49,000 Speaker 1: It is never technology. It's the problem. We've never invented 12 00:00:49,040 --> 00:00:54,000 Speaker 1: anything that's been on its own powerful to the human race. 13 00:00:54,880 --> 00:00:57,960 Speaker 1: It's when people get their hands on it that's the difficulties, 14 00:00:58,000 --> 00:01:02,160 Speaker 1: what people will do with it. And so I can't 15 00:01:02,200 --> 00:01:06,320 Speaker 1: think of a technology that's been invented that hasn't been 16 00:01:06,319 --> 00:01:10,120 Speaker 1: weaponized in some way or other. And so those are 17 00:01:10,160 --> 00:01:13,960 Speaker 1: the concerns. So if we if we invent a technology 18 00:01:14,080 --> 00:01:17,039 Speaker 1: like AI and robotics and then give it a gun 19 00:01:17,520 --> 00:01:20,479 Speaker 1: and teach you to kill people, that's not the fault 20 00:01:20,520 --> 00:01:25,800 Speaker 1: of the technology problem. So I always look at these 21 00:01:25,840 --> 00:01:29,680 Speaker 1: things in terms of what's the upside of the technology 22 00:01:29,840 --> 00:01:33,880 Speaker 1: and what is the downside. So the reality is the 23 00:01:34,000 --> 00:01:37,760 Speaker 1: AI is saving lives every day. It's providing us with 24 00:01:38,080 --> 00:01:43,840 Speaker 1: food and clothing. It is helping us create what we 25 00:01:43,920 --> 00:01:48,320 Speaker 1: now call industry four point zero, which is the first 26 00:01:48,560 --> 00:01:51,800 Speaker 1: attempt to feel like by our species, to create some 27 00:01:51,920 --> 00:01:56,520 Speaker 1: kind of symbiotic relationship with the planet, a sustainable society. 28 00:01:57,040 --> 00:01:59,480 Speaker 1: And without it, we will not be able to create 29 00:02:00,040 --> 00:02:07,280 Speaker 1: the materials and the medicines, the drugs and things of 30 00:02:07,400 --> 00:02:10,760 Speaker 1: that nature to sustain human beings into the future. So 31 00:02:11,120 --> 00:02:14,840 Speaker 1: we've reached we've reached a tipping point if you wish, 32 00:02:14,880 --> 00:02:20,400 Speaker 1: that we've done this successively through every industrial revolution. It 33 00:02:20,560 --> 00:02:23,160 Speaker 1: is now starting to dawn on people and it's been 34 00:02:23,200 --> 00:02:26,800 Speaker 1: blindingly obvious for a long time that we live on 35 00:02:26,840 --> 00:02:30,800 Speaker 1: a planet that is finite and we have an infinite 36 00:02:32,240 --> 00:02:37,960 Speaker 1: appetite for consumption, and the two don't go together. And Peter, 37 00:02:38,120 --> 00:02:40,560 Speaker 1: let's talk about the title of your new book, AI 38 00:02:40,720 --> 00:02:44,919 Speaker 1: and policing. What's the policing part of that. Well, what 39 00:02:46,000 --> 00:02:50,080 Speaker 1: we've done myself and co editors have brought together a 40 00:02:50,120 --> 00:02:53,480 Speaker 1: series of chapters that have a look at the whole 41 00:02:53,560 --> 00:02:57,240 Speaker 1: problem of law and order. So I suspect you have 42 00:02:57,600 --> 00:03:01,280 Speaker 1: definitely got this problem in the US. But in the 43 00:03:01,400 --> 00:03:07,600 Speaker 1: UK we have the barristers. These these are the people 44 00:03:07,680 --> 00:03:14,160 Speaker 1: that tech cases to court. They're like lawyers here, all right. Yeah, 45 00:03:14,160 --> 00:03:17,560 Speaker 1: they're absolutely overwhelmed by the caseload. And what I mean 46 00:03:17,720 --> 00:03:20,880 Speaker 1: is if they don't stop work and they keep going 47 00:03:20,919 --> 00:03:23,040 Speaker 1: twenty four hours a day for about five years, they're 48 00:03:23,040 --> 00:03:26,800 Speaker 1: still going to be behind. So we've now got court 49 00:03:26,840 --> 00:03:30,960 Speaker 1: cases that depending for over a year because nobody can 50 00:03:31,000 --> 00:03:35,280 Speaker 1: read the paperwork fast enough. Nobody can put I feel 51 00:03:35,280 --> 00:03:39,520 Speaker 1: like a pro and con argument to examine the evidence 52 00:03:40,080 --> 00:03:47,080 Speaker 1: fast enough. And so AI has that ability to actually 53 00:03:47,120 --> 00:03:50,360 Speaker 1: read all of this stuff. And it's been demonstrated and 54 00:03:50,440 --> 00:03:52,960 Speaker 1: it worked very well, and it's actually been adopted in 55 00:03:53,000 --> 00:03:56,200 Speaker 1: the US of course first, but the UK is now 56 00:03:56,240 --> 00:04:01,000 Speaker 1: starting to look at it. We have a lot of 57 00:04:01,040 --> 00:04:07,200 Speaker 1: tensions in modern society, and one of the big difficulties 58 00:04:07,480 --> 00:04:11,400 Speaker 1: is that the pace of change is far faster now 59 00:04:11,800 --> 00:04:17,200 Speaker 1: than human beings can cope with. In my case, for example, 60 00:04:17,800 --> 00:04:22,760 Speaker 1: I made the decision many years ago to stop specializing 61 00:04:22,839 --> 00:04:26,920 Speaker 1: and to become a generalist. Now, the joy of this 62 00:04:27,080 --> 00:04:29,720 Speaker 1: is I've been able to work on projects that have 63 00:04:29,880 --> 00:04:34,160 Speaker 1: spanned a huge range. The downside is I have to 64 00:04:34,200 --> 00:04:40,760 Speaker 1: read everything from molecular science through to clinical science, through 65 00:04:40,800 --> 00:04:47,159 Speaker 1: to engineering, physics, biology, chemistry, just to keep a surface 66 00:04:47,600 --> 00:04:51,880 Speaker 1: view if you like where the developments are. I was 67 00:04:51,920 --> 00:04:55,200 Speaker 1: working well. I've been working for a number of companies 68 00:04:55,240 --> 00:04:58,640 Speaker 1: over the last twenty years, and I've seen this trend. 69 00:04:59,320 --> 00:05:04,400 Speaker 1: If you will just accelerate the people, the experts, the 70 00:05:04,520 --> 00:05:09,080 Speaker 1: people developing the systems I would very often characterize as 71 00:05:09,200 --> 00:05:14,000 Speaker 1: being one meter wide and two kilometers deep. And what 72 00:05:14,040 --> 00:05:18,280 Speaker 1: I mean is they know an infinite amount about almost nothing, 73 00:05:19,560 --> 00:05:22,480 Speaker 1: but pushed them to one side of their expertise level 74 00:05:22,839 --> 00:05:25,880 Speaker 1: and they don't know very much at all. And it's 75 00:05:25,960 --> 00:05:30,919 Speaker 1: just kind of dangerous when you're trying to create a 76 00:05:31,080 --> 00:05:38,440 Speaker 1: technology solutions for society, which is a very broad animal, 77 00:05:38,760 --> 00:05:43,480 Speaker 1: or societies are not very narrow. We survive by virtue 78 00:05:43,560 --> 00:05:48,880 Speaker 1: of our diversity, and it's becoming increasingly difficult to have 79 00:05:49,000 --> 00:05:52,400 Speaker 1: a diverse view. So I've been employed over the last 80 00:05:52,440 --> 00:05:56,279 Speaker 1: twenty years to connect the dots. I've gone into teams 81 00:05:56,440 --> 00:06:01,080 Speaker 1: where literally there's mean difficulty for the engineers and the 82 00:06:01,160 --> 00:06:05,240 Speaker 1: scientists of so many disciplines to talk together and understand 83 00:06:05,279 --> 00:06:08,760 Speaker 1: what is happening. And so, to me, the epitome of 84 00:06:08,760 --> 00:06:12,920 Speaker 1: this would be something like say a buying triple seven. 85 00:06:13,520 --> 00:06:18,839 Speaker 1: Nobody understands how that beast works. No one person can 86 00:06:18,920 --> 00:06:22,280 Speaker 1: tell you how that beast works. What you can get 87 00:06:22,360 --> 00:06:27,360 Speaker 1: is somebody who will tell you about the deep technology 88 00:06:27,640 --> 00:06:31,799 Speaker 1: involved in creating a termine blade. You can get somebody 89 00:06:31,839 --> 00:06:35,159 Speaker 1: who will tell you in detail about the combustion chamber 90 00:06:35,480 --> 00:06:37,680 Speaker 1: and the jet engine. You can get somebody who will 91 00:06:37,720 --> 00:06:41,719 Speaker 1: tell you about the airfoil and palm, but no one 92 00:06:42,000 --> 00:06:45,320 Speaker 1: can actually put it all together. So we're way past 93 00:06:45,440 --> 00:06:49,800 Speaker 1: the point where the systems we are building will actually 94 00:06:50,000 --> 00:06:54,320 Speaker 1: within the gasp of a single human mind. And so 95 00:06:55,000 --> 00:06:59,039 Speaker 1: if we're not careful, we get the rather silly situations. 96 00:07:00,080 --> 00:07:05,520 Speaker 1: Managers make decisions based on partial information or ignorance. They're 97 00:07:05,600 --> 00:07:12,400 Speaker 1: driven by whatever mechanisms you wish to think of, and 98 00:07:12,560 --> 00:07:16,800 Speaker 1: you finish it with a disaster. And so buying of 99 00:07:16,880 --> 00:07:21,160 Speaker 1: suffered that phase is one of their aircraft which has 100 00:07:21,160 --> 00:07:24,080 Speaker 1: had to be bounded. And I feel for these people 101 00:07:24,960 --> 00:07:32,160 Speaker 1: because they are managing multidisciplinary teams on projects that's a 102 00:07:32,320 --> 00:07:37,160 Speaker 1: phenomenally complex, and they need help, and the only help 103 00:07:37,240 --> 00:07:40,240 Speaker 1: that we can see and we have is to bring 104 00:07:40,280 --> 00:07:43,600 Speaker 1: in the technology, and so often that comes in the 105 00:07:43,600 --> 00:07:49,240 Speaker 1: shape of AI that also visualization, graphics and things like that. 106 00:07:49,280 --> 00:07:53,120 Speaker 1: So this is not a new story, by the way, 107 00:07:53,640 --> 00:07:58,640 Speaker 1: It's happened cycle after cycle cycle. It's just getting faster. 108 00:07:59,040 --> 00:08:02,000 Speaker 1: What is fueled it, though, Peter, What is really pushing 109 00:08:02,120 --> 00:08:06,920 Speaker 1: this artificial intelligence to do these remarkable things, many of 110 00:08:06,920 --> 00:08:11,760 Speaker 1: which we'll talk about tonight. We have a desperate need. 111 00:08:12,720 --> 00:08:15,480 Speaker 1: You know, we have all of a sudden billion people 112 00:08:15,600 --> 00:08:20,760 Speaker 1: on this planet. There are enough resources to keep people 113 00:08:20,800 --> 00:08:25,200 Speaker 1: alive and provide them all with a reasonable standard of living. 114 00:08:25,240 --> 00:08:29,720 Speaker 1: And as I've said many times now, we've got to 115 00:08:29,920 --> 00:08:36,840 Speaker 1: stop creating more and more for the few, and we've 116 00:08:36,880 --> 00:08:40,920 Speaker 1: got to start providing sufficient for the many. If we 117 00:08:41,000 --> 00:08:45,239 Speaker 1: do not do that, we will never have peace, stability 118 00:08:45,880 --> 00:08:53,000 Speaker 1: and reasonable conditions right across the planet. And so it's 119 00:08:53,040 --> 00:08:59,840 Speaker 1: not by accident that globalization has happened. It's occurred because 120 00:09:00,080 --> 00:09:05,000 Speaker 1: no country, not China, not Europe, not the USA, not 121 00:09:05,040 --> 00:09:09,000 Speaker 1: the Russia, have got all the resources they need to 122 00:09:09,200 --> 00:09:12,520 Speaker 1: match the demands of the modern world. And so we 123 00:09:12,600 --> 00:09:16,600 Speaker 1: have to collaborate. We have to cooperate because, believe it 124 00:09:16,720 --> 00:09:20,080 Speaker 1: or not, we are desperately short of people on this planet, 125 00:09:20,400 --> 00:09:24,120 Speaker 1: and I mean people with the necessary skills and capability 126 00:09:24,679 --> 00:09:29,120 Speaker 1: to solve the problems we face, which are many, COVID 127 00:09:29,240 --> 00:09:37,800 Speaker 1: being a good example. Without those skills, will we will suffer. 128 00:09:38,160 --> 00:09:43,480 Speaker 1: So a friend of mine made a very interesting statement, 129 00:09:43,559 --> 00:09:48,360 Speaker 1: you w a day and because that, we've damaged the 130 00:09:48,400 --> 00:09:52,760 Speaker 1: planet and now she's fighting back. So COVID is really 131 00:09:52,840 --> 00:09:56,240 Speaker 1: quite a result of the pressure put on the environment 132 00:09:56,320 --> 00:10:00,360 Speaker 1: by human beings. Now, if we want to avoid more COVID, 133 00:10:00,960 --> 00:10:04,280 Speaker 1: more flight back from the planet, we have to find 134 00:10:04,320 --> 00:10:09,080 Speaker 1: a way of living more sympatheticated nature. We can't do 135 00:10:09,240 --> 00:10:12,400 Speaker 1: that with the technology from the past we're thinking from 136 00:10:12,440 --> 00:10:17,079 Speaker 1: the past, or the economic models and the politics of 137 00:10:17,200 --> 00:10:20,839 Speaker 1: the past. It needs a different approach. There's a movie 138 00:10:20,880 --> 00:10:24,640 Speaker 1: Peter called The Truman Show, and it was with a 139 00:10:24,720 --> 00:10:27,160 Speaker 1: star Jim Carey, who was a comedian. But it was 140 00:10:27,160 --> 00:10:30,320 Speaker 1: a great show and in it dealt with how in 141 00:10:30,360 --> 00:10:34,000 Speaker 1: his entire life it was videotaped since he was a 142 00:10:34,080 --> 00:10:36,640 Speaker 1: baby and everything else. And then they showed it later 143 00:10:36,760 --> 00:10:39,199 Speaker 1: on and it was remarkable. Are we going to get 144 00:10:39,240 --> 00:10:42,440 Speaker 1: to that point? Have we gotten to that point where 145 00:10:42,679 --> 00:10:44,800 Speaker 1: you know, we're going to be wearing cameras, We're going 146 00:10:44,880 --> 00:10:47,480 Speaker 1: to be doing all these things, and our lives will 147 00:10:47,520 --> 00:10:52,680 Speaker 1: be recorded all the time. I think we way past 148 00:10:52,760 --> 00:10:56,160 Speaker 1: that point. I mean, I think a lot of Americans 149 00:10:56,200 --> 00:10:58,880 Speaker 1: will be outraged if it came to U take it's 150 00:10:59,160 --> 00:11:05,240 Speaker 1: very difficult you get off camera. Really that the more 151 00:11:05,360 --> 00:11:08,960 Speaker 1: cameras had a population in the UK, in the vast 152 00:11:08,960 --> 00:11:13,920 Speaker 1: majority of countries, the good news is that people are 153 00:11:14,000 --> 00:11:16,880 Speaker 1: quite happy about it. It fits well with the society. 154 00:11:17,400 --> 00:11:20,400 Speaker 1: I'm very happy that when my wife goes out at 155 00:11:20,480 --> 00:11:22,680 Speaker 1: night there are lots of cameras in the parking lot. 156 00:11:23,720 --> 00:11:28,280 Speaker 1: If you feel safer with these cameras. Of course the 157 00:11:30,200 --> 00:11:35,920 Speaker 1: great for observing people from a safety point of view, 158 00:11:36,000 --> 00:11:42,400 Speaker 1: but also the medical emergencies, traffic jams, accidents. It speeds 159 00:11:42,480 --> 00:11:48,760 Speaker 1: up the whole emergency response situation. So from a safety, 160 00:11:49,679 --> 00:11:53,200 Speaker 1: a personal safety, but from a societal safety point of view, 161 00:11:53,280 --> 00:11:56,719 Speaker 1: it works very well. You go to China, it's a 162 00:11:56,760 --> 00:12:01,360 Speaker 1: little more extreme. Um you know that society happens to 163 00:12:01,400 --> 00:12:04,400 Speaker 1: be happy with it, but all the police is now 164 00:12:04,559 --> 00:12:09,640 Speaker 1: wearing cameras and the major cities they will look at 165 00:12:09,640 --> 00:12:14,000 Speaker 1: your facial recognition and flag for the police. Obviously if 166 00:12:14,800 --> 00:12:22,000 Speaker 1: you're wanted, or your criminal or they've got some outstanding charge, 167 00:12:22,480 --> 00:12:28,000 Speaker 1: you should be intercepted. That It is not exactly happening 168 00:12:28,000 --> 00:12:31,520 Speaker 1: in the UK, but our policement and now wearing cameras 169 00:12:33,120 --> 00:12:41,000 Speaker 1: it helps with things like evidence, traffic incidents, interception of 170 00:12:41,120 --> 00:12:44,559 Speaker 1: crime on the streets. With body worn cameras. That is 171 00:12:45,120 --> 00:12:48,440 Speaker 1: absolutely revolutionizing law and order. And you don't have to 172 00:12:48,480 --> 00:12:54,960 Speaker 1: go too far go on YouTube and outlook on the 173 00:12:55,080 --> 00:13:00,520 Speaker 1: USA fed sites from police forces, but from Joel where 174 00:13:00,520 --> 00:13:05,439 Speaker 1: they've got cash cams and their recording accidents. Some vehicles 175 00:13:05,520 --> 00:13:09,240 Speaker 1: coming out of Japan, I've got to seven or eight 176 00:13:09,760 --> 00:13:15,080 Speaker 1: or ten cameras on them facing forwards, backwards, sidewards and 177 00:13:15,440 --> 00:13:18,960 Speaker 1: they record fifteen minutes of activity all the time, so 178 00:13:19,200 --> 00:13:21,600 Speaker 1: if you have an accident, you've got a full video record. 179 00:13:22,080 --> 00:13:28,640 Speaker 1: So this revolutionize of insurance. So I had I know, 180 00:13:28,679 --> 00:13:31,280 Speaker 1: I've had accidents like everybody else in the vehicle, and 181 00:13:31,480 --> 00:13:34,719 Speaker 1: years and years ago I had one and the paperwork, 182 00:13:34,920 --> 00:13:38,199 Speaker 1: my god, it was killing. It took a long time, sure, 183 00:13:38,360 --> 00:13:44,280 Speaker 1: but then my wife had a small accident and we 184 00:13:44,520 --> 00:13:48,079 Speaker 1: got a video. We've got potocustom. We just sent them 185 00:13:48,080 --> 00:13:50,079 Speaker 1: into the insurance company. By the time we got home, 186 00:13:50,120 --> 00:13:53,560 Speaker 1: it's all been settled. That's amazing. Where do you see 187 00:13:53,559 --> 00:13:59,560 Speaker 1: AI going, Peter in twenty years, Well, right now I 188 00:13:59,600 --> 00:14:04,160 Speaker 1: have to m AI is on a ladder, and it's 189 00:14:04,200 --> 00:14:07,040 Speaker 1: really only I'm about the first first one and a 190 00:14:07,080 --> 00:14:12,040 Speaker 1: half rungs of the ladder. It's great skill as far 191 00:14:12,040 --> 00:14:15,640 Speaker 1: as we are concerned right now is its ability to 192 00:14:15,760 --> 00:14:20,960 Speaker 1: recognize patterns that we cannot see, and so it can. 193 00:14:21,800 --> 00:14:26,479 Speaker 1: It can see patterns for the material developing new materials 194 00:14:26,640 --> 00:14:30,840 Speaker 1: or new drugs, or human behavior or machine behavior, and 195 00:14:31,800 --> 00:14:36,800 Speaker 1: it's a phenomenally powerful resource. So I have AI in 196 00:14:36,840 --> 00:14:40,880 Speaker 1: every room in my house here. And so one of 197 00:14:40,920 --> 00:14:44,600 Speaker 1: the paradoxes, if you wish, is that the most popular 198 00:14:45,080 --> 00:14:47,960 Speaker 1: AI system in use for people at you and I 199 00:14:48,800 --> 00:14:51,160 Speaker 1: is a Lexa, comes out of Amazon, and Amazon is 200 00:14:51,200 --> 00:14:56,880 Speaker 1: not even a tech company finently, And so it's now 201 00:14:56,920 --> 00:15:00,960 Speaker 1: getting embedded in television sets and to my car, talk 202 00:15:01,000 --> 00:15:04,560 Speaker 1: to my TV, talk to everything. Terrific. Saves me time. 203 00:15:04,760 --> 00:15:07,320 Speaker 1: I don't have to tie back and ask. So as 204 00:15:07,360 --> 00:15:13,240 Speaker 1: an interface, it's rather harmful facility. The next wrongs as 205 00:15:13,280 --> 00:15:17,840 Speaker 1: we go up are to start heading towards putting in 206 00:15:18,880 --> 00:15:25,320 Speaker 1: sensory capability. At the moment, AI is a disembodied entity. 207 00:15:25,480 --> 00:15:30,040 Speaker 1: So in my work, what I have discovered that the 208 00:15:30,280 --> 00:15:34,960 Speaker 1: property of sentience is far more to do with the 209 00:15:35,040 --> 00:15:38,960 Speaker 1: sensory system and the connection to the environment than it 210 00:15:39,160 --> 00:15:41,880 Speaker 1: is to do with the processing power and the memory. 211 00:15:42,400 --> 00:15:49,440 Speaker 1: So when you start to put all kinds of sensors 212 00:15:49,480 --> 00:15:53,640 Speaker 1: onto an AI, then it starts to create, if you like, 213 00:15:54,760 --> 00:16:00,320 Speaker 1: some form of awareness, some kind of model of where 214 00:16:00,360 --> 00:16:04,640 Speaker 1: it lives and what it does that hoops the empty 215 00:16:05,000 --> 00:16:09,520 Speaker 1: quite significantly. Listen to more Coast to Coast AM every 216 00:16:09,560 --> 00:16:12,680 Speaker 1: weeknight at one a m. Eastern and go to Coast 217 00:16:12,680 --> 00:16:14,520 Speaker 1: to Coast am dot com for more