1 00:00:00,200 --> 00:00:03,360 Speaker 1: Well, this week AI, we are delving into the good, 2 00:00:03,400 --> 00:00:06,680 Speaker 1: the bad, and the and the scary. Alex Jenkins is 3 00:00:06,720 --> 00:00:09,360 Speaker 1: the director of the WA Data Science Innovation Hub and 4 00:00:09,360 --> 00:00:13,600 Speaker 1: an AI specialist, and has kindly come into the studio 5 00:00:13,680 --> 00:00:14,640 Speaker 1: today to help us out. 6 00:00:14,640 --> 00:00:16,720 Speaker 2: Hello, thank you so much for having So. 7 00:00:16,800 --> 00:00:19,760 Speaker 1: We are going to talk about how AI shows up 8 00:00:19,760 --> 00:00:22,600 Speaker 1: in everyday life and how we're probably doing it without 9 00:00:22,680 --> 00:00:24,080 Speaker 1: even knowing it exactly. 10 00:00:24,239 --> 00:00:27,040 Speaker 3: We may be against it, but we're still using it. 11 00:00:27,120 --> 00:00:28,520 Speaker 2: Do you know my first or not? 12 00:00:28,680 --> 00:00:28,880 Speaker 3: Yeah? 13 00:00:29,640 --> 00:00:33,199 Speaker 1: How come it knows? How come my phone knows when 14 00:00:33,240 --> 00:00:36,040 Speaker 1: I'm at Bunnings and things like that, all of a 15 00:00:36,080 --> 00:00:39,120 Speaker 1: sudden I get a whole bunch of ads and things. 16 00:00:40,159 --> 00:00:41,560 Speaker 2: So that isn't even AI. 17 00:00:41,680 --> 00:00:44,120 Speaker 4: That's not even a phone has a GPS inside it, 18 00:00:44,200 --> 00:00:46,879 Speaker 4: the same thing that helps you get to work every morning. Yeah, 19 00:00:46,960 --> 00:00:50,479 Speaker 4: and Google conveniently know as soon as you get to Bunnings, 20 00:00:50,680 --> 00:00:54,240 Speaker 4: and Bunnings will happily pay Google a lot of money 21 00:00:54,480 --> 00:00:57,120 Speaker 4: to suggest the things that you should buy or rate 22 00:00:57,160 --> 00:00:58,560 Speaker 4: Bunnings out of five stars. 23 00:00:59,440 --> 00:01:03,160 Speaker 5: See there you go. We're all, well, OK, so it's 24 00:01:03,200 --> 00:01:04,240 Speaker 5: technically not AI. 25 00:01:04,440 --> 00:01:05,680 Speaker 1: Well, I know not to take my phone with me 26 00:01:05,720 --> 00:01:06,640 Speaker 1: if I'm jumping a body. 27 00:01:06,720 --> 00:01:09,960 Speaker 2: I'm not that stupid, but not making that mistake again? 28 00:01:10,040 --> 00:01:10,360 Speaker 3: Are we? 29 00:01:11,600 --> 00:01:13,039 Speaker 2: I just got out from the last time? 30 00:01:14,160 --> 00:01:16,760 Speaker 1: All right, Alex, What are some of the everyday examples 31 00:01:16,760 --> 00:01:19,319 Speaker 1: of AI that we might already be using without even 32 00:01:19,400 --> 00:01:20,120 Speaker 1: realizing it. 33 00:01:20,200 --> 00:01:25,280 Speaker 4: Look, AI is already everywhere. Some of the simple use cases. 34 00:01:25,360 --> 00:01:29,800 Speaker 4: Every time you turn on Netflix, you are using AI 35 00:01:30,160 --> 00:01:33,280 Speaker 4: to be selecting a show or recommended a show. 36 00:01:33,360 --> 00:01:34,720 Speaker 3: So this is like the algorithms. 37 00:01:34,840 --> 00:01:37,160 Speaker 4: Yeah, these are the algorithms that work in the background 38 00:01:37,160 --> 00:01:41,520 Speaker 4: to try and understand your tastes a person. Right, So, 39 00:01:42,280 --> 00:01:44,360 Speaker 4: but it gets a bit more nefarious than that. So 40 00:01:44,600 --> 00:01:50,360 Speaker 4: every time you open TikTok or Instagram, and TikTok in 41 00:01:50,400 --> 00:01:55,440 Speaker 4: particular will learn your behavior and the kind of content 42 00:01:55,480 --> 00:01:58,640 Speaker 4: that you were interested in. And it is like a casino. 43 00:01:58,920 --> 00:02:03,680 Speaker 4: It's like a one of these poker machines. You get 44 00:02:03,680 --> 00:02:06,600 Speaker 4: a little dopamine burst every time you see something you like, 45 00:02:06,960 --> 00:02:11,320 Speaker 4: and they will learn your preferences very very quickly. Right 46 00:02:11,400 --> 00:02:14,480 Speaker 4: down to then things like the banks. You know, we'll 47 00:02:14,560 --> 00:02:19,400 Speaker 4: use artificial intelligence to detect whether there's fortunate behavior in 48 00:02:19,440 --> 00:02:20,520 Speaker 4: your bank accounts. 49 00:02:20,600 --> 00:02:23,520 Speaker 2: They will use AI to help decide whether they're going. 50 00:02:23,440 --> 00:02:26,360 Speaker 4: To give you a home loan or not. There are 51 00:02:26,360 --> 00:02:29,120 Speaker 4: all kinds of use cases. It is everywhere. Every time 52 00:02:29,240 --> 00:02:31,400 Speaker 4: you say hey, Google, I don't want. 53 00:02:31,320 --> 00:02:33,880 Speaker 2: To say it too well because wake up, wake up. 54 00:02:33,919 --> 00:02:39,480 Speaker 4: Every single person's phone, a car. You are talking with 55 00:02:39,520 --> 00:02:40,280 Speaker 4: the basic AI. 56 00:02:41,360 --> 00:02:46,720 Speaker 5: Yeah, yeah, okay, So there are good parts to it, 57 00:02:46,800 --> 00:02:49,000 Speaker 5: like you said it, with the bank security and and 58 00:02:49,000 --> 00:02:52,720 Speaker 5: and it can tell whether something is off the security. 59 00:02:53,080 --> 00:02:55,400 Speaker 3: But yeah, and I guess. 60 00:02:55,200 --> 00:02:58,079 Speaker 5: They've got to do it because the bad guys are 61 00:02:58,160 --> 00:03:01,959 Speaker 5: using AI now, so good guys have got to use AI. 62 00:03:02,120 --> 00:03:03,160 Speaker 5: So there's no escaping it. 63 00:03:03,200 --> 00:03:06,359 Speaker 2: Really, there's no escape in it. 64 00:03:06,360 --> 00:03:08,560 Speaker 4: It is an arms race between the good guys and 65 00:03:08,600 --> 00:03:11,960 Speaker 4: the bad guys. I'd like to give you two scenarios 66 00:03:12,000 --> 00:03:14,760 Speaker 4: about where the future of all of this is going. 67 00:03:14,880 --> 00:03:16,680 Speaker 3: Yeah, please, let's choose our world. 68 00:03:16,880 --> 00:03:21,040 Speaker 4: Yeah, so, you know, a fantastic future that we could 69 00:03:21,080 --> 00:03:24,480 Speaker 4: all have is an AI assistant that's on our phone 70 00:03:24,600 --> 00:03:28,200 Speaker 4: or on our watch and that we can say, you know, 71 00:03:28,600 --> 00:03:31,639 Speaker 4: book me dinner at a restaurant somewhere in West Perth 72 00:03:31,840 --> 00:03:34,440 Speaker 4: and arrange your time with my friend, and it just 73 00:03:34,480 --> 00:03:35,320 Speaker 4: goes away and does it. 74 00:03:35,320 --> 00:03:37,480 Speaker 2: It's like a personal arrange. 75 00:03:37,520 --> 00:03:41,240 Speaker 4: It a appointment for the doctor with me and it'll 76 00:03:41,240 --> 00:03:43,120 Speaker 4: go up and bring up the doctor for you and 77 00:03:43,160 --> 00:03:45,720 Speaker 4: do all of these things, and you can ask it 78 00:03:45,840 --> 00:03:49,680 Speaker 4: questions and it will give you the answers, can give 79 00:03:49,680 --> 00:03:53,760 Speaker 4: you advice, and really actors. There's a lot of people 80 00:03:54,040 --> 00:03:56,760 Speaker 4: who use AI as like a personal coach for work 81 00:03:57,200 --> 00:03:59,440 Speaker 4: or a business coach, and it's quite good at those things. 82 00:04:00,200 --> 00:04:02,960 Speaker 4: So the other thing that AI is amazing at is 83 00:04:03,120 --> 00:04:05,200 Speaker 4: education in terms of teaching. 84 00:04:04,880 --> 00:04:06,720 Speaker 2: You stuff when you used correctly. 85 00:04:07,040 --> 00:04:09,240 Speaker 4: Schools are having a super hard time because kids go 86 00:04:09,320 --> 00:04:11,400 Speaker 4: home and just use chat to BT to right an essay. 87 00:04:11,960 --> 00:04:14,240 Speaker 4: But if you use it properly, and you can set 88 00:04:14,280 --> 00:04:16,400 Speaker 4: up these tools so that they don't just give kids 89 00:04:16,400 --> 00:04:20,960 Speaker 4: the answers, then it's very very good for education. 90 00:04:21,080 --> 00:04:24,080 Speaker 1: Because I do fear for creativity and we were just 91 00:04:24,120 --> 00:04:28,080 Speaker 1: talking about how a song was just released completely AI. 92 00:04:28,320 --> 00:04:29,640 Speaker 3: I mean that's a country song. 93 00:04:30,040 --> 00:04:33,520 Speaker 1: It doesn't all the well for actual musicians and creative 94 00:04:33,560 --> 00:04:35,599 Speaker 1: people and just using your brain. 95 00:04:35,839 --> 00:04:38,560 Speaker 2: Well, let me give you the bad side of where 96 00:04:38,560 --> 00:04:39,240 Speaker 2: this could all go. 97 00:04:39,480 --> 00:04:45,320 Speaker 4: Yes, an AI assistant on your phone that learns exactly 98 00:04:45,400 --> 00:04:48,360 Speaker 4: what you like and tries to keep you engaged as 99 00:04:48,400 --> 00:04:51,839 Speaker 4: long as possible. So you think about something like TikTok, 100 00:04:51,960 --> 00:04:56,760 Speaker 4: but on steroids, and an AI assistant that becomes so 101 00:04:56,800 --> 00:05:00,280 Speaker 4: addictive and talks to you and always tells you you 102 00:05:00,360 --> 00:05:05,800 Speaker 4: that you're right and that you're fantastic, and it just becomes, 103 00:05:06,400 --> 00:05:07,440 Speaker 4: you know, almost. 104 00:05:07,120 --> 00:05:09,800 Speaker 2: Like a an AI sick. 105 00:05:09,600 --> 00:05:12,880 Speaker 4: A fan that would be able to manipulate you and 106 00:05:12,960 --> 00:05:16,440 Speaker 4: know your behavior. And this kind of thing could get 107 00:05:16,480 --> 00:05:19,960 Speaker 4: really dangerous because already there are services. There's one called Replica, 108 00:05:20,000 --> 00:05:24,080 Speaker 4: there's one called Character AI where people have romantic relationships. Oh, 109 00:05:24,080 --> 00:05:27,920 Speaker 4: I know, I know that it's getting very popular and 110 00:05:27,960 --> 00:05:30,320 Speaker 4: it's not just about having a chat with this AI, 111 00:05:30,760 --> 00:05:35,080 Speaker 4: you know what some of them do them Yeah, well, 112 00:05:35,200 --> 00:05:37,440 Speaker 4: well that as well, but I won't get into that. 113 00:05:37,480 --> 00:05:41,120 Speaker 4: At eight o'clock one of them, one of them would 114 00:05:41,120 --> 00:05:42,760 Speaker 4: happily bring you up in the middle of the day 115 00:05:42,800 --> 00:05:45,960 Speaker 4: and say, hey, honey, how are you going, how's your god? 116 00:05:46,760 --> 00:05:49,000 Speaker 4: You know, as a husband, I feel quite inadequate. 117 00:05:53,440 --> 00:05:57,320 Speaker 5: Here's a question, because you know, they're talking about a 118 00:05:57,360 --> 00:06:01,800 Speaker 5: lot of AI replacing jobs, and especially this is the 119 00:06:01,839 --> 00:06:04,960 Speaker 5: big fear, especially with white collar jobs, got trading jobs. 120 00:06:05,040 --> 00:06:06,920 Speaker 5: You know, AI is still quite a way of being 121 00:06:06,920 --> 00:06:09,839 Speaker 5: able to do those, like you know, the robot stuff. 122 00:06:10,480 --> 00:06:12,799 Speaker 5: But a lot of white collar jobs. 123 00:06:14,080 --> 00:06:17,200 Speaker 3: That's a that's a very very that's going to change 124 00:06:17,680 --> 00:06:21,640 Speaker 3: the world. It's going to change economies. 125 00:06:21,720 --> 00:06:23,360 Speaker 2: It will, Yes, it will. 126 00:06:23,640 --> 00:06:25,520 Speaker 5: Where's the tax dollar going to come from if no 127 00:06:25,560 --> 00:06:26,800 Speaker 5: one's working well? 128 00:06:26,920 --> 00:06:27,760 Speaker 2: I don't believe. 129 00:06:27,839 --> 00:06:30,440 Speaker 4: I don't buy the line that we are all going 130 00:06:30,480 --> 00:06:32,200 Speaker 4: to sit on the beach and the government's going to 131 00:06:32,240 --> 00:06:34,560 Speaker 4: have to pay us some jacked up version of. 132 00:06:35,960 --> 00:06:37,080 Speaker 2: I think what the. 133 00:06:37,040 --> 00:06:41,760 Speaker 4: Most likely scenario is some jobs will be displaced. 134 00:06:42,839 --> 00:06:43,560 Speaker 2: I think. 135 00:06:44,960 --> 00:06:50,760 Speaker 4: The days of the call center are almost over. But 136 00:06:50,839 --> 00:06:53,760 Speaker 4: there are lots of industries where AI is not going 137 00:06:53,800 --> 00:06:57,240 Speaker 4: to make a lick of difference. We have this crisis 138 00:06:57,240 --> 00:06:59,280 Speaker 4: in Australia the moment. We don't have enough houses, we 139 00:06:59,279 --> 00:06:59,920 Speaker 4: can't build enough. 140 00:07:00,120 --> 00:07:01,200 Speaker 3: Yeah, I can't do that. 141 00:07:01,240 --> 00:07:02,359 Speaker 2: AI is not going to do that. 142 00:07:03,760 --> 00:07:07,200 Speaker 4: I think that I would encourage listeners out there who 143 00:07:07,240 --> 00:07:10,760 Speaker 4: are worried about AI and their job to learn more 144 00:07:10,800 --> 00:07:14,040 Speaker 4: about AI because the classic line is, and I really 145 00:07:14,040 --> 00:07:16,080 Speaker 4: believe this, is that your job is not going to 146 00:07:16,080 --> 00:07:20,720 Speaker 4: be replaced necessarily by AI, but you might be replaced 147 00:07:20,720 --> 00:07:23,200 Speaker 4: by someone who can use AI to be more productive. 148 00:07:23,600 --> 00:07:26,640 Speaker 2: So being prepared, so just get in there and have 149 00:07:26,720 --> 00:07:26,920 Speaker 2: a go. 150 00:07:27,200 --> 00:07:29,400 Speaker 1: The same thing to me, all right, we're going to 151 00:07:29,440 --> 00:07:30,080 Speaker 1: have to let you go. 152 00:07:31,720 --> 00:07:34,120 Speaker 5: We hope your job is safe as an AI specialist, 153 00:07:34,120 --> 00:07:36,600 Speaker 5: well for at least another five minutes, I think, until 154 00:07:36,640 --> 00:07:38,120 Speaker 5: AI said now I can do that myself. 155 00:07:38,880 --> 00:07:41,320 Speaker 1: Thanks Alex, you maybe feel a little bit better. 156 00:07:42,920 --> 00:07:44,400 Speaker 3: You so much, A brave new world