1 00:00:00,280 --> 00:00:03,480 Speaker 1: And what's what's I got to do with it? That's 2 00:00:03,480 --> 00:00:04,440 Speaker 1: what everything. 3 00:00:04,680 --> 00:00:07,680 Speaker 2: That's what we've been asking this week. Because it has arrived, 4 00:00:07,720 --> 00:00:10,479 Speaker 2: it is clearly upon us. It's taking all our jobs. Well, 5 00:00:10,520 --> 00:00:13,440 Speaker 2: that's the fear, isn't it. And that's why we've been 6 00:00:13,480 --> 00:00:15,520 Speaker 2: trying to get our head around it a bit this week. 7 00:00:15,600 --> 00:00:19,040 Speaker 2: And today Petra Trinky is joining us. Petra is Women 8 00:00:19,120 --> 00:00:23,120 Speaker 2: in Technology WA's strategic program and community impact leader, and 9 00:00:23,280 --> 00:00:27,200 Speaker 2: she's come to talk about how to use AI tools 10 00:00:27,200 --> 00:00:31,760 Speaker 2: in our personal life and safely. Thank you for coming 11 00:00:31,920 --> 00:00:34,519 Speaker 2: in and helping us as we try to get our 12 00:00:34,640 --> 00:00:38,720 Speaker 2: head around this, you know, layman style. What exactly do 13 00:00:38,800 --> 00:00:42,559 Speaker 2: we mean, Petra, by AI tools in everyday life? I 14 00:00:42,560 --> 00:00:45,400 Speaker 2: guess we're already using some of them, whether we realize 15 00:00:45,400 --> 00:00:45,760 Speaker 2: it or not. 16 00:00:46,200 --> 00:00:51,600 Speaker 3: Yeah, absolutely so, we do use AI every day. It's 17 00:00:51,600 --> 00:00:56,080 Speaker 3: embedded in probably most electronic devices, whether we like it 18 00:00:56,200 --> 00:00:59,040 Speaker 3: or not, our mobile phones. 19 00:00:59,280 --> 00:01:02,120 Speaker 4: The new car that we're driving nowadays. 20 00:01:03,600 --> 00:01:07,679 Speaker 3: I have a Tesla and I went for an autonomous 21 00:01:07,800 --> 00:01:14,920 Speaker 3: driving autonomous driving sort of lesson the day and that 22 00:01:15,040 --> 00:01:19,240 Speaker 3: was mind blowing. The car could where the car basically 23 00:01:19,319 --> 00:01:23,080 Speaker 3: drives for you, yes, okay, could stop at traffic lights, 24 00:01:23,120 --> 00:01:29,119 Speaker 3: could turn, could do a U turn, could Yeah, as 25 00:01:29,120 --> 00:01:31,039 Speaker 3: long as it wasn't anything in the way. 26 00:01:32,080 --> 00:01:34,360 Speaker 4: It was absolutely fascinating because. 27 00:01:34,120 --> 00:01:34,760 Speaker 1: That's taking off. 28 00:01:34,760 --> 00:01:37,560 Speaker 5: There's a not insignificant percentage of cars in places like 29 00:01:37,600 --> 00:01:39,880 Speaker 5: San Francisco, you know, around Silicon Valley, all that sort 30 00:01:39,880 --> 00:01:43,959 Speaker 5: of area where autonomous vehicles are there, they're on the road, 31 00:01:44,360 --> 00:01:45,160 Speaker 5: you're sharing. 32 00:01:44,840 --> 00:01:45,560 Speaker 1: The road with them. 33 00:01:45,680 --> 00:01:47,240 Speaker 4: Absolutely, that terrifies me. 34 00:01:47,440 --> 00:01:51,760 Speaker 3: Well, and so the oh you're in the car driver 35 00:01:52,640 --> 00:01:57,920 Speaker 3: actually gets better. Cameras strategically placed in the car and 36 00:01:57,960 --> 00:02:01,440 Speaker 3: there's a camera just above my head and it knows 37 00:02:01,480 --> 00:02:02,600 Speaker 3: when I'm distracted. 38 00:02:03,560 --> 00:02:09,160 Speaker 1: My car does that. Yeah, yeah, yeah, I get that. 39 00:02:10,280 --> 00:02:13,079 Speaker 2: Just a break when I'm driving a long way. 40 00:02:13,240 --> 00:02:14,960 Speaker 5: Literally, all I did was scratch my head and it 41 00:02:15,000 --> 00:02:17,639 Speaker 5: goes ding ding. Distracted driver, Notice, just give you a 42 00:02:17,680 --> 00:02:18,600 Speaker 5: little electric shock. 43 00:02:18,639 --> 00:02:22,440 Speaker 1: That's what it's like. That distracted me. Was you going 44 00:02:22,520 --> 00:02:22,919 Speaker 1: ding ding? 45 00:02:24,080 --> 00:02:24,280 Speaker 4: Yeah? 46 00:02:24,360 --> 00:02:26,560 Speaker 3: It hasn't churned up the heat yet and makes you 47 00:02:26,639 --> 00:02:33,519 Speaker 3: really uncomfortable. That might be that whole terminator AI that's 48 00:02:33,560 --> 00:02:36,400 Speaker 3: going to take over that we're all fearmongering about. 49 00:02:36,800 --> 00:02:40,360 Speaker 2: Well, that's yeah, absolutely, And I'm a little scared of 50 00:02:40,560 --> 00:02:47,800 Speaker 2: people like, look, I just broke my the road with 51 00:02:48,120 --> 00:02:50,359 Speaker 2: car driverless cars. 52 00:02:50,160 --> 00:02:52,440 Speaker 5: So that's one aspect that people are worried about. But 53 00:02:52,919 --> 00:02:55,359 Speaker 5: how how can we how can we tell because there's 54 00:02:55,400 --> 00:02:58,200 Speaker 5: a few of them out there now AI tools, how 55 00:02:58,240 --> 00:03:00,160 Speaker 5: can we tell whether their trust will. 56 00:03:00,760 --> 00:03:04,440 Speaker 3: Yeah, that's a really good point, Russ and I think 57 00:03:05,360 --> 00:03:08,280 Speaker 3: even if we were to search the Internet and try 58 00:03:08,280 --> 00:03:12,280 Speaker 3: and find the right appropriate information, you get bombarded with 59 00:03:12,600 --> 00:03:17,639 Speaker 3: all different sources of that information. So whether it's Google's 60 00:03:17,639 --> 00:03:23,000 Speaker 3: intent to give you the top ranking and rating of 61 00:03:23,480 --> 00:03:28,880 Speaker 3: so called reputable websites or tools to use, you still 62 00:03:28,960 --> 00:03:31,480 Speaker 3: need to use a little bit of gut feeling. 63 00:03:32,160 --> 00:03:33,120 Speaker 4: And also. 64 00:03:34,720 --> 00:03:38,080 Speaker 3: Have a look and don't just use one source of information, 65 00:03:38,400 --> 00:03:41,880 Speaker 3: look at different sources of information. You could potentially ask 66 00:03:42,000 --> 00:03:47,240 Speaker 3: CHATCHBT what is that best source of information and then 67 00:03:47,280 --> 00:03:50,520 Speaker 3: go to a different AI agent and ask that. 68 00:03:50,840 --> 00:03:52,240 Speaker 1: So it's called shopping around. 69 00:03:52,480 --> 00:03:56,320 Speaker 2: Absolutely, we hear a lot about chat GPT and can 70 00:03:56,360 --> 00:03:59,160 Speaker 2: I just say I've asked chat GPT to write the 71 00:03:59,200 --> 00:04:02,000 Speaker 2: shore report this morning and we will see how they 72 00:04:02,080 --> 00:04:06,240 Speaker 2: go or it goes or whatever whatever it's pronouns after 73 00:04:06,320 --> 00:04:09,160 Speaker 2: the eight thirty news. Now, let's just dial back in 74 00:04:09,160 --> 00:04:11,320 Speaker 2: two thousand and one, space obtys see fear for a 75 00:04:11,400 --> 00:04:16,440 Speaker 2: second and talk about what are examples of everyday task 76 00:04:16,600 --> 00:04:19,360 Speaker 2: a I can really help me with, you know, without 77 00:04:19,440 --> 00:04:20,880 Speaker 2: so driving my car. 78 00:04:21,320 --> 00:04:25,320 Speaker 3: Absolutely, you can utilize those tools to do you know, 79 00:04:25,440 --> 00:04:29,880 Speaker 3: everyday tasks such as writing, you know, lists, checklists, shopping lists. 80 00:04:30,760 --> 00:04:32,400 Speaker 3: I'm a bit of a Thermo mix fan I have 81 00:04:33,640 --> 00:04:38,880 Speaker 3: in that community, and you know, there's lots of resources 82 00:04:38,880 --> 00:04:41,160 Speaker 3: out there. So if I want to do some meal prepping, 83 00:04:42,839 --> 00:04:45,920 Speaker 3: you know, I can ask I can ask the AI 84 00:04:46,200 --> 00:04:49,039 Speaker 3: to do that for me. But the really interesting thing 85 00:04:49,080 --> 00:04:53,679 Speaker 3: at the moment, so probably the last six to twelve months, 86 00:04:53,720 --> 00:04:58,680 Speaker 3: you've seen AI and the whole having to prompt and 87 00:04:58,960 --> 00:05:01,800 Speaker 3: you'd actually have to be quite structured in what that 88 00:05:01,920 --> 00:05:05,680 Speaker 3: prompt looks like. So nowadays you can kind of give 89 00:05:05,680 --> 00:05:08,400 Speaker 3: it keywords and it will understand like. 90 00:05:08,360 --> 00:05:09,839 Speaker 1: You're talking to it conversationally. 91 00:05:10,160 --> 00:05:16,040 Speaker 4: Absolutely, and it's getting smarter and more more knowing. Right, 92 00:05:16,240 --> 00:05:17,560 Speaker 4: you know, I'm not going to go make. 93 00:05:17,480 --> 00:05:21,120 Speaker 3: It's intelligent because it may not be intelligent because it's 94 00:05:21,160 --> 00:05:25,760 Speaker 3: only reliant information that is out there that you have 95 00:05:26,520 --> 00:05:27,960 Speaker 3: and that it can piece together. 96 00:05:28,080 --> 00:05:30,920 Speaker 2: Right, So if it needs an intelligent person behind it, 97 00:05:31,080 --> 00:05:32,960 Speaker 2: if it's going to be intelligent. 98 00:05:32,839 --> 00:05:33,680 Speaker 4: Not necessarily. 99 00:05:33,800 --> 00:05:38,320 Speaker 3: No, it can still draw from intelligent or reputable sources, 100 00:05:38,400 --> 00:05:42,320 Speaker 3: So academic sources is what we tend to say. 101 00:05:42,440 --> 00:05:46,920 Speaker 5: That's, you know, yeah, one thing from a parent's point 102 00:05:46,920 --> 00:05:50,080 Speaker 5: of view. You were saying that you have an educational background. 103 00:05:50,600 --> 00:05:53,520 Speaker 5: How is it being used in school and how far 104 00:05:53,680 --> 00:05:55,600 Speaker 5: should they go using it in schools? 105 00:05:56,000 --> 00:05:57,120 Speaker 4: I think it really depends. 106 00:05:57,160 --> 00:06:01,920 Speaker 3: I think there's actually schools out there that have adopted 107 00:06:02,440 --> 00:06:07,560 Speaker 3: AI and encouraged their teachers to be using it. There's 108 00:06:08,240 --> 00:06:14,000 Speaker 3: some system sectors, so you know, some education in some 109 00:06:14,040 --> 00:06:18,440 Speaker 3: schools that are very cautious about it because they don't 110 00:06:19,080 --> 00:06:24,680 Speaker 3: necessarily want to expose the students or teachers to additional risks. 111 00:06:26,000 --> 00:06:29,120 Speaker 4: And that's probably the main point. 112 00:06:29,440 --> 00:06:34,040 Speaker 2: I think caution is a very wise word. Brave new 113 00:06:34,080 --> 00:06:37,520 Speaker 2: world step, step cautiously. And as we've been saying all week, 114 00:06:37,720 --> 00:06:40,479 Speaker 2: watch this space. Thank you so much for coming in, 115 00:06:40,680 --> 00:06:42,280 Speaker 2: thank you, thank you for having. 116 00:06:42,040 --> 00:06:44,680 Speaker 5: Me, for allaying some for you, for you. Yes, I 117 00:06:44,680 --> 00:06:46,599 Speaker 5: don't know, maybe stoking a couple of others. 118 00:06:46,640 --> 00:06:47,960 Speaker 4: Will you be driving home or 119 00:06:50,440 --> 00:06:50,800 Speaker 2: All right,