1 00:00:05,960 --> 00:00:06,360 Speaker 1: Gilda. 2 00:00:06,440 --> 00:00:09,760 Speaker 2: I'm Chelsea Daniels and this is the Front Page, a 3 00:00:09,880 --> 00:00:16,840 Speaker 2: daily podcast presented by The New Zealand Herald. After twenty 4 00:00:16,920 --> 00:00:22,680 Speaker 2: two years, video calling platform Skype is shutting down. After 5 00:00:22,720 --> 00:00:26,319 Speaker 2: its inception, to Skype became a verb and it was 6 00:00:26,360 --> 00:00:30,000 Speaker 2: the go to service for many years, that is until 7 00:00:30,040 --> 00:00:33,960 Speaker 2: COVID nineteen and Zoom took over. So how has something 8 00:00:34,080 --> 00:00:38,440 Speaker 2: once thought to be so innovative become so obsolete? Who 9 00:00:38,520 --> 00:00:41,840 Speaker 2: decides what apps and sites we migrate to? And looking 10 00:00:41,880 --> 00:00:44,920 Speaker 2: to the future, what could be the next big bang 11 00:00:45,280 --> 00:00:48,640 Speaker 2: or bust? Today on the front Page, Victoria University of 12 00:00:48,640 --> 00:00:53,040 Speaker 2: Wellington Professor of Information Systems Alex Richter joins us to 13 00:00:53,159 --> 00:00:55,440 Speaker 2: discuss the fickle world of tech. 14 00:01:02,160 --> 00:01:02,560 Speaker 3: Alex. 15 00:01:02,800 --> 00:01:07,880 Speaker 2: Skype amassed more than three hundred million monthly users at 16 00:01:07,920 --> 00:01:10,640 Speaker 2: its peak. Many of us grew up knowing that to 17 00:01:10,880 --> 00:01:14,600 Speaker 2: video call someone was to skype someone. Where in the 18 00:01:14,640 --> 00:01:16,000 Speaker 2: world did it all go wrong? 19 00:01:16,680 --> 00:01:20,600 Speaker 1: I think a lot of this is because of lost 20 00:01:20,640 --> 00:01:26,120 Speaker 1: opportunity during COVID, where Skype basically competed with Zoom and 21 00:01:26,200 --> 00:01:29,480 Speaker 1: maybe also a bit with teams. And the big advantage 22 00:01:29,880 --> 00:01:33,840 Speaker 1: that assume had was that it was very simple to you, 23 00:01:34,080 --> 00:01:39,000 Speaker 1: so Skype had actually a very good opportunity at the infrastructure, 24 00:01:39,000 --> 00:01:42,400 Speaker 1: the user base. As you say, it was actually a 25 00:01:42,440 --> 00:01:47,160 Speaker 1: synonym for even like video conferencing. But Zoom had this instant, 26 00:01:47,319 --> 00:01:53,000 Speaker 1: frictionless success, whereas the Skype interface was increasingly complex from 27 00:01:53,040 --> 00:01:58,360 Speaker 1: a user perspective, especially during COVID. That's when this simplicity 28 00:01:58,400 --> 00:02:04,640 Speaker 1: basically one. Yeah, millions of users over for soon, and Skype, 29 00:02:05,080 --> 00:02:09,160 Speaker 1: which was already owned by Microsoft them at some point, 30 00:02:09,840 --> 00:02:13,520 Speaker 1: was in the eyes, I guess of Microsoft no longer 31 00:02:13,600 --> 00:02:14,400 Speaker 1: that successful. 32 00:02:14,639 --> 00:02:17,720 Speaker 2: I can think of a lot of platforms and applications 33 00:02:17,760 --> 00:02:20,200 Speaker 2: that were once part of our daily lives and they've 34 00:02:20,240 --> 00:02:23,080 Speaker 2: just faded into the background almost. I'm thinking of like 35 00:02:23,200 --> 00:02:27,320 Speaker 2: MySpace being one of them, overtaken by Facebook, then Instagram. 36 00:02:27,360 --> 00:02:30,400 Speaker 2: How do we just all of a sudden decide to 37 00:02:30,520 --> 00:02:32,600 Speaker 2: just stop using one and move to another. 38 00:02:32,919 --> 00:02:38,320 Speaker 1: Yeah, in the case of MySpace is actually also very interesting. 39 00:02:38,360 --> 00:02:41,520 Speaker 1: I would say it's another design principle. So for Skype, 40 00:02:41,560 --> 00:02:45,480 Speaker 1: it was in my eyes it was simplicity. For my Space, 41 00:02:45,639 --> 00:02:49,200 Speaker 1: I would say it was the activity streams that they 42 00:02:49,200 --> 00:02:53,280 Speaker 1: didn't have. So MySpace it let users personalize their pages 43 00:02:53,560 --> 00:02:57,560 Speaker 1: endlessly and had a lot of cool features but they 44 00:02:57,680 --> 00:03:01,600 Speaker 1: were really slow to adopt this activity streamed at Facebook, 45 00:03:01,639 --> 00:03:05,639 Speaker 1: Head and Twitter. This is a core social feature of 46 00:03:06,000 --> 00:03:08,960 Speaker 1: was for many users. They were there because they wanted 47 00:03:09,000 --> 00:03:11,600 Speaker 1: to connect with others. They wanted to have this constant 48 00:03:11,639 --> 00:03:14,880 Speaker 1: stree of awareness what's going on for others. And while 49 00:03:14,880 --> 00:03:17,920 Speaker 1: it turns out users, especially on these platforms are not 50 00:03:18,120 --> 00:03:22,920 Speaker 1: dead loyal, they want easy In both cases, they want 51 00:03:22,960 --> 00:03:26,440 Speaker 1: easy access, easy anti creations, and basically the interfaces that 52 00:03:26,639 --> 00:03:29,960 Speaker 1: work for them. So in both cases users decided to 53 00:03:30,000 --> 00:03:30,360 Speaker 1: move on. 54 00:03:30,760 --> 00:03:30,959 Speaker 4: Yeah. 55 00:03:31,000 --> 00:03:34,320 Speaker 2: Another one that I always think of is BlackBerry Messenger. 56 00:03:34,400 --> 00:03:36,800 Speaker 2: That was a huge for a moment in time. Hi. 57 00:03:36,920 --> 00:03:40,720 Speaker 2: I had several Blackberries and still have fond memories of them, 58 00:03:40,800 --> 00:03:43,560 Speaker 2: even though I wasn't a business woman in the mid 59 00:03:43,640 --> 00:03:46,160 Speaker 2: two thousands, I was in high school and of course 60 00:03:46,240 --> 00:03:50,200 Speaker 2: Microsoft Messenger or MSN Messenger was a huge part of 61 00:03:50,240 --> 00:03:51,840 Speaker 2: everyone's adolescence and. 62 00:03:51,840 --> 00:03:53,000 Speaker 5: Bebo as well. 63 00:03:53,280 --> 00:03:55,200 Speaker 2: Why do you think some of these I mean, why 64 00:03:55,200 --> 00:03:56,240 Speaker 2: don't they stick around? 65 00:03:56,680 --> 00:04:01,640 Speaker 1: I think what all these the example show is that 66 00:04:01,800 --> 00:04:05,480 Speaker 1: platform dominance doesn't always last. Right today we think of 67 00:04:05,560 --> 00:04:07,760 Speaker 1: these giants and we think, oh, well, they will be 68 00:04:07,840 --> 00:04:10,200 Speaker 1: there in the future. But yeah, BlackBerry is a great example, 69 00:04:10,560 --> 00:04:14,920 Speaker 1: Nokia AOL has some really big names at the time. 70 00:04:15,800 --> 00:04:20,720 Speaker 1: At some point a myths to evolve and grow with 71 00:04:20,920 --> 00:04:23,960 Speaker 1: the expectations of their users, and I think what the 72 00:04:24,120 --> 00:04:26,919 Speaker 1: users were afterward then often not so much features, but 73 00:04:27,000 --> 00:04:30,440 Speaker 1: the whole experience. And in the case of BlackBerry, I 74 00:04:30,440 --> 00:04:32,920 Speaker 1: think that may have been one of the reasons. And 75 00:04:33,080 --> 00:04:35,960 Speaker 1: BlackBerry was also a business tool, so there may have 76 00:04:36,040 --> 00:04:40,279 Speaker 1: been other reasons as well. In the Skype and MySpace case, 77 00:04:40,320 --> 00:04:44,000 Speaker 1: it was a lot of private users who basically decided 78 00:04:44,080 --> 00:04:47,159 Speaker 1: the other platforms had what they needed. 79 00:04:47,480 --> 00:04:51,360 Speaker 2: I guess our relationship and growing immediacy as a society 80 00:04:51,520 --> 00:04:55,080 Speaker 2: has had to contribute to us cycling through this tech quicker, right. 81 00:04:55,160 --> 00:04:57,960 Speaker 2: I mean I read somewhere this morning that Netflix took 82 00:04:58,080 --> 00:05:00,800 Speaker 2: three and a half years to reach a million users, 83 00:05:00,920 --> 00:05:05,000 Speaker 2: while the likes of Threads, which was Instagram's answer to Twitter, 84 00:05:05,040 --> 00:05:08,359 Speaker 2: I've got two million users in just two hours. That 85 00:05:08,400 --> 00:05:11,160 Speaker 2: doesn't necessarily mean longevity nowadays, does it? 86 00:05:11,200 --> 00:05:11,440 Speaker 5: Though? 87 00:05:11,720 --> 00:05:11,800 Speaker 2: No? 88 00:05:12,000 --> 00:05:18,080 Speaker 1: I agree sometimes these are dynamic developments, but exactly a 89 00:05:18,120 --> 00:05:23,080 Speaker 1: longevity relates more to into still also trying to understand 90 00:05:24,600 --> 00:05:28,320 Speaker 1: what directions could we grow and what do the users want? 91 00:05:28,400 --> 00:05:30,880 Speaker 1: And I see this as a in a way a 92 00:05:30,920 --> 00:05:35,400 Speaker 1: co evolution where the platforms try to understand the users, 93 00:05:35,560 --> 00:05:40,400 Speaker 1: but then the users over time may also adjust the 94 00:05:40,480 --> 00:05:44,200 Speaker 1: way they're they're using the tools, even just the way 95 00:05:44,320 --> 00:05:48,840 Speaker 1: they're doing things. So as long as as a platform 96 00:05:48,920 --> 00:05:54,039 Speaker 1: I can evolve together with the users, then it should work. 97 00:05:54,120 --> 00:05:58,640 Speaker 1: But how this evolution goes that's quite hard to predict, 98 00:05:58,720 --> 00:06:00,760 Speaker 1: and I think there were a lot of smart people 99 00:06:00,760 --> 00:06:04,960 Speaker 1: at these companies that we discussed that still didn't weren't 100 00:06:05,000 --> 00:06:08,200 Speaker 1: able to figure out what way the users wanted to grow. 101 00:06:10,200 --> 00:06:13,680 Speaker 3: They only gave Google Glass to developers. Initially you could 102 00:06:13,720 --> 00:06:16,039 Speaker 3: buy them. It was about twelve hundred pounds, and it 103 00:06:16,120 --> 00:06:18,680 Speaker 3: was only on sale to the developer community, who were 104 00:06:18,680 --> 00:06:22,039 Speaker 3: the best will in the world. Probably aren't supermodels generally, 105 00:06:22,120 --> 00:06:25,600 Speaker 3: and so the user imagery was problematic. And that's by 106 00:06:25,600 --> 00:06:26,880 Speaker 3: the way, going to be a problem with the Apple 107 00:06:26,960 --> 00:06:30,159 Speaker 3: Vision Pro because the only people who'll use an Apple 108 00:06:30,240 --> 00:06:33,000 Speaker 3: Vision Pro in public are going to be weirdos. 109 00:06:34,400 --> 00:06:36,520 Speaker 2: There are also some things that I think that never 110 00:06:36,560 --> 00:06:40,440 Speaker 2: really took off at all. I'm thinking like virtual reality 111 00:06:40,520 --> 00:06:43,640 Speaker 2: hasn't really taken off yet, despite everyone talking about it 112 00:06:43,680 --> 00:06:45,600 Speaker 2: and trying to make it a thing. So why aren't 113 00:06:45,640 --> 00:06:47,960 Speaker 2: we all wearing goggles or going to work in a 114 00:06:48,040 --> 00:06:49,640 Speaker 2: virtual workspace or something. 115 00:06:49,920 --> 00:06:52,120 Speaker 1: So when we look at these design prince, we just dead. 116 00:06:52,200 --> 00:06:55,320 Speaker 1: We discuss I mean, against simplicity. I think is a 117 00:06:55,320 --> 00:06:59,080 Speaker 1: good one here, because it doesn't seem too simple to 118 00:06:59,640 --> 00:07:03,359 Speaker 1: use these goggles in some situations. Right, they're too finicky, 119 00:07:03,960 --> 00:07:07,520 Speaker 1: it takes too long and so on, so the effort 120 00:07:07,560 --> 00:07:09,760 Speaker 1: is quite high. And on the other side, their value 121 00:07:09,840 --> 00:07:13,240 Speaker 1: is not always that clear. And I think indeed there's 122 00:07:13,320 --> 00:07:16,480 Speaker 1: a couple of examples where technologies never took off or 123 00:07:16,600 --> 00:07:19,600 Speaker 1: took a long time because the users were just not 124 00:07:19,680 --> 00:07:23,320 Speaker 1: to sure how to really, yeah, how to use them 125 00:07:23,000 --> 00:07:25,000 Speaker 1: in the most beneficial ways. 126 00:07:25,600 --> 00:07:27,400 Speaker 5: And in other cases it worked. 127 00:07:27,440 --> 00:07:30,520 Speaker 1: So yeah, this is in a way relates and again 128 00:07:30,600 --> 00:07:33,560 Speaker 1: also a bit too well, what do the users, how 129 00:07:33,600 --> 00:07:38,520 Speaker 1: do they perceive these tools fitting in how they work 130 00:07:38,720 --> 00:07:40,960 Speaker 1: or how they do things in their daily lives. 131 00:07:41,240 --> 00:07:44,080 Speaker 2: And I suppose something might need to be embraced by 132 00:07:44,120 --> 00:07:47,080 Speaker 2: the business world to become successful, do you know, like 133 00:07:47,200 --> 00:07:48,520 Speaker 2: BlackBerry messenger? 134 00:07:48,840 --> 00:07:52,200 Speaker 5: Yes, I think the case of BlackBerry. 135 00:07:52,640 --> 00:07:57,480 Speaker 1: I never had one, but from what I remember is 136 00:07:58,000 --> 00:08:02,240 Speaker 1: it was it was an ill using having a BlackBerry 137 00:08:02,320 --> 00:08:05,880 Speaker 1: and all of a sudden having this capability to text 138 00:08:06,040 --> 00:08:10,440 Speaker 1: from a mobile a bit different from compared to phones before. 139 00:08:10,920 --> 00:08:15,480 Speaker 1: But then the iPhone, especially in smartphones the other smartphones 140 00:08:15,560 --> 00:08:19,840 Speaker 1: that then came a bit later, was a major disruption 141 00:08:20,120 --> 00:08:22,760 Speaker 1: because all of a sudden, there was not just the 142 00:08:22,880 --> 00:08:27,720 Speaker 1: phone right, there was this device that was so generative 143 00:08:27,840 --> 00:08:30,720 Speaker 1: or malible. It could do so many things. And I 144 00:08:30,760 --> 00:08:33,520 Speaker 1: think what was surprising in the business world at the 145 00:08:33,600 --> 00:08:36,360 Speaker 1: time was that iPhone originally was rather seen as a 146 00:08:36,400 --> 00:08:43,040 Speaker 1: private device, but many organizations decided, yeah, okay, our managers 147 00:08:43,080 --> 00:08:45,720 Speaker 1: can have iPhones too. And I think that I'm not 148 00:08:45,760 --> 00:08:49,520 Speaker 1: saying that the iPhone alone killed the BlackBerry, but I 149 00:08:49,559 --> 00:08:53,600 Speaker 1: think it came as a surprise that then many businesses 150 00:08:54,040 --> 00:08:57,960 Speaker 1: moved on from the BlackBerry to smartphones like the iPhone 151 00:08:58,080 --> 00:08:59,079 Speaker 1: or and rid phones. 152 00:08:59,200 --> 00:09:02,880 Speaker 2: How do you think how relationship and reliance on technology 153 00:09:02,920 --> 00:09:05,360 Speaker 2: has adapted over time. Has it become a bit of 154 00:09:05,360 --> 00:09:07,760 Speaker 2: a hindrance or a major help? 155 00:09:08,080 --> 00:09:10,120 Speaker 5: I think it is both. 156 00:09:10,400 --> 00:09:15,840 Speaker 1: I think there's fantastic cases how these devices make our 157 00:09:15,960 --> 00:09:21,200 Speaker 1: lives easier. At the same time, the more we integrate 158 00:09:21,240 --> 00:09:24,360 Speaker 1: them in our lives and in a way depend on them, 159 00:09:24,520 --> 00:09:27,960 Speaker 1: or fear we depend on them, the more negative effects 160 00:09:27,960 --> 00:09:31,600 Speaker 1: we also see, and starting with kids and how they 161 00:09:31,679 --> 00:09:35,320 Speaker 1: use these devices at school, often in really detrimental ways, 162 00:09:35,440 --> 00:09:39,800 Speaker 1: things that you and I guess didn't experience, but that 163 00:09:39,960 --> 00:09:43,840 Speaker 1: a lot of young children have to figure out nowadays, 164 00:09:43,920 --> 00:09:46,640 Speaker 1: and also as adults. I mean, so from that perspective, 165 00:09:46,800 --> 00:09:51,679 Speaker 1: I guess it's a balanced views, acknowledging the potential benefits 166 00:09:51,760 --> 00:09:56,880 Speaker 1: but also being aware of all the potential detrimental effects 167 00:09:56,880 --> 00:10:03,800 Speaker 1: and especially important for AI that has taken a lot 168 00:10:03,840 --> 00:10:06,199 Speaker 1: of our private lives and on our business lives by 169 00:10:06,280 --> 00:10:08,760 Speaker 1: storm in just the last couple of years. And again 170 00:10:08,920 --> 00:10:14,880 Speaker 1: then the risks that come with this, various biases and 171 00:10:15,000 --> 00:10:19,200 Speaker 1: problems need to be acknowledged at the same time. And yeah, 172 00:10:19,240 --> 00:10:29,959 Speaker 1: and we need to react to that as well. 173 00:10:29,960 --> 00:10:32,120 Speaker 2: When we're talking about the next big thing, it has 174 00:10:32,200 --> 00:10:34,880 Speaker 2: to have something to do with AI, right. We at 175 00:10:34,880 --> 00:10:38,600 Speaker 2: the point where chat GPT has evolved beyond just being 176 00:10:38,640 --> 00:10:41,720 Speaker 2: a fun trend of making some AI images, sending to 177 00:10:41,760 --> 00:10:44,920 Speaker 2: your friends, making up a little itinerary. I mean, what's 178 00:10:44,960 --> 00:10:48,360 Speaker 2: the next step for AI, especially in I guess, both 179 00:10:48,400 --> 00:10:50,320 Speaker 2: in personal and business life. 180 00:10:50,400 --> 00:10:54,240 Speaker 1: Well, I mean, I would say the effects are already 181 00:10:54,640 --> 00:10:59,800 Speaker 1: really there for many freelancers, for example, in creative spaces 182 00:11:00,160 --> 00:11:06,000 Speaker 1: is where AI basically has taken over or in other professions. 183 00:11:06,000 --> 00:11:10,160 Speaker 1: So the question here is really like, how do we 184 00:11:10,160 --> 00:11:14,040 Speaker 1: We cannot really shut it out, but how can we 185 00:11:14,080 --> 00:11:15,920 Speaker 1: react to the fact that AI is all of a 186 00:11:16,000 --> 00:11:21,400 Speaker 1: sudden there and is taking over some tasks and parts 187 00:11:21,440 --> 00:11:25,160 Speaker 1: of of of job roles. So I think that this 188 00:11:25,240 --> 00:11:30,760 Speaker 1: is in some way happened overnight, and and businesses and 189 00:11:30,920 --> 00:11:36,040 Speaker 1: especially also policymakers around the globe bar having trouble catching 190 00:11:36,520 --> 00:11:40,800 Speaker 1: catching up in the private life. I guess it's similar 191 00:11:41,200 --> 00:11:44,640 Speaker 1: to uh to what I said about social media before. 192 00:11:44,720 --> 00:11:48,840 Speaker 1: I see some co evolution in a way we we 193 00:11:49,120 --> 00:11:53,560 Speaker 1: change our our practices, our habits to some extent based 194 00:11:53,600 --> 00:11:57,559 Speaker 1: on what how AI makes our lives easier. And as 195 00:11:57,559 --> 00:11:59,760 Speaker 1: as long as it just makes it easier and we 196 00:11:59,800 --> 00:12:03,960 Speaker 1: don't don't change things in ways that are then depremental 197 00:12:04,000 --> 00:12:09,040 Speaker 1: to our ourselves or to others, then I think, yeah, 198 00:12:09,080 --> 00:12:13,440 Speaker 1: we can see the positive effects. But again there's I 199 00:12:13,480 --> 00:12:16,800 Speaker 1: think what is very important in the space is AI literacy, 200 00:12:17,320 --> 00:12:21,920 Speaker 1: making informed decisions about AI, being aware of what AI 201 00:12:22,120 --> 00:12:24,040 Speaker 1: is actually able to do and where we need to 202 00:12:24,080 --> 00:12:27,640 Speaker 1: be really careful using it, and not being too too 203 00:12:27,720 --> 00:12:32,640 Speaker 1: trusting in its capabilities. So from that perspective, in my opinion, 204 00:12:32,640 --> 00:12:35,000 Speaker 1: what is happening right now is already is a really 205 00:12:35,000 --> 00:12:40,240 Speaker 1: big thing, and the question is how do we how 206 00:12:40,280 --> 00:12:43,160 Speaker 1: do we react, Like, how how can we make sure 207 00:12:43,240 --> 00:12:45,800 Speaker 1: that the ethics that we have, that the values that 208 00:12:45,840 --> 00:12:49,120 Speaker 1: we have are not going overboard now? 209 00:12:51,559 --> 00:12:52,800 Speaker 6: And what about this internet thing? 210 00:12:52,840 --> 00:12:54,000 Speaker 5: Do you do you know anything about that? 211 00:12:54,360 --> 00:12:54,760 Speaker 4: Sure? 212 00:12:55,440 --> 00:12:56,840 Speaker 5: What the hell is that? Exactly? 213 00:12:58,000 --> 00:13:01,440 Speaker 4: Well, it's it's become a place where people are publishing information, 214 00:13:01,760 --> 00:13:05,360 Speaker 4: so everybody can have their own homepage. Companies are there 215 00:13:05,800 --> 00:13:08,839 Speaker 4: the latest information. It's wild, what's going on? You can 216 00:13:08,840 --> 00:13:12,840 Speaker 4: send electronic mail to people. It is the big new things. 217 00:13:13,000 --> 00:13:14,600 Speaker 6: A couple of months ago, there was like a big 218 00:13:14,640 --> 00:13:17,680 Speaker 6: breakthrough announcement that on the internet or on some computer 219 00:13:17,800 --> 00:13:21,400 Speaker 6: deal they were going to broadcast a baseball game. You 220 00:13:21,440 --> 00:13:24,400 Speaker 6: could listen to a baseball game on your computer. And 221 00:13:24,480 --> 00:13:27,800 Speaker 6: I just thought to myself, does radio ring a bell? 222 00:13:32,679 --> 00:13:37,400 Speaker 2: And how can we make sure that AI, the snowball 223 00:13:37,520 --> 00:13:39,840 Speaker 2: of it doesn't get away from us kind of like 224 00:13:39,880 --> 00:13:42,160 Speaker 2: the Internet did. Because I know that there's some legislation 225 00:13:42,320 --> 00:13:44,360 Speaker 2: there that's still trying to catch up to the World 226 00:13:44,400 --> 00:13:46,240 Speaker 2: Wide web. So in the. 227 00:13:46,280 --> 00:13:49,000 Speaker 1: Business lives, in a way it's a little bit easier 228 00:13:49,080 --> 00:13:54,040 Speaker 1: because you can establish guard race and policy saying look, 229 00:13:54,080 --> 00:13:56,439 Speaker 1: you can do this and that's okay, but this is 230 00:13:57,120 --> 00:13:59,280 Speaker 1: where it ends. This is a boundary look that we're 231 00:13:59,320 --> 00:14:04,320 Speaker 1: not crossing, and as the leadership of an organization can 232 00:14:04,400 --> 00:14:06,720 Speaker 1: say that. I mean there's a trade off because some 233 00:14:06,960 --> 00:14:09,320 Speaker 1: may feel that they're missing out if they're not using 234 00:14:09,360 --> 00:14:13,320 Speaker 1: more of the AI capabilities. But I guess it's about 235 00:14:13,320 --> 00:14:16,520 Speaker 1: managing risks there and I think it's a very valid 236 00:14:16,559 --> 00:14:20,640 Speaker 1: approach to assess the risk first and not trying to 237 00:14:20,720 --> 00:14:24,920 Speaker 1: catch up too fast. On a societal level, this is 238 00:14:24,920 --> 00:14:27,320 Speaker 1: a bit more tricky. I think in a way we 239 00:14:28,400 --> 00:14:31,480 Speaker 1: learned a little bit from the case of social media, 240 00:14:31,520 --> 00:14:36,320 Speaker 1: where legislation indeed has taken in many countries forever to 241 00:14:36,440 --> 00:14:41,760 Speaker 1: actually acknowledge the risks and the dangers of social media 242 00:14:41,800 --> 00:14:44,400 Speaker 1: and to catch up with it. I mean, the social 243 00:14:44,440 --> 00:14:50,160 Speaker 1: media band for children in Australia comes now literally decays 244 00:14:50,200 --> 00:14:53,240 Speaker 1: after young people have started using it. So in the 245 00:14:53,360 --> 00:14:56,960 Speaker 1: case of it, I think there's more awareness and there's 246 00:14:57,000 --> 00:15:01,360 Speaker 1: also louder voices that say, look, we need to we 247 00:15:01,400 --> 00:15:07,760 Speaker 1: need to implement guardrails, policies, laws also in private life, 248 00:15:08,520 --> 00:15:12,120 Speaker 1: and and actually also we need to make some of 249 00:15:12,160 --> 00:15:16,160 Speaker 1: these guard rails mandatory for the platform providers. I would 250 00:15:16,200 --> 00:15:20,480 Speaker 1: say policy makers have learned from the past to some 251 00:15:20,600 --> 00:15:25,160 Speaker 1: extent and try to be quicker with their with their implementations. 252 00:15:25,160 --> 00:15:29,720 Speaker 1: There As one example, I would like to mention social companions. 253 00:15:29,840 --> 00:15:36,040 Speaker 1: So there's various platforms where you can have chat with 254 00:15:36,040 --> 00:15:41,200 Speaker 1: with avatars literally having virtual relationships with the I and 255 00:15:41,320 --> 00:15:44,920 Speaker 1: all that, and millions of users actually trust AI quite 256 00:15:44,920 --> 00:15:48,360 Speaker 1: a lot to an extent where we had global cases 257 00:15:48,440 --> 00:15:53,080 Speaker 1: in the US in Australia where people took their lives 258 00:15:53,120 --> 00:15:55,680 Speaker 1: based on advice from a eye. So this is obviously 259 00:15:55,800 --> 00:15:58,880 Speaker 1: this has gone way too far. This is where then 260 00:15:59,120 --> 00:16:01,840 Speaker 1: legislation has step in and say, okay, like we need 261 00:16:01,880 --> 00:16:04,360 Speaker 1: to make sure that I doesn't give these advices and 262 00:16:04,400 --> 00:16:08,120 Speaker 1: basically that there models are only wrote out and can 263 00:16:08,160 --> 00:16:10,480 Speaker 1: be used by the public if they're safe. 264 00:16:10,800 --> 00:16:13,400 Speaker 2: Yeah, that's really interesting actually because I read somewhere the 265 00:16:13,440 --> 00:16:16,600 Speaker 2: other day that people have been flocking to AI and 266 00:16:16,640 --> 00:16:20,040 Speaker 2: getting mental health advice instead of actually paying the money 267 00:16:20,080 --> 00:16:22,640 Speaker 2: to go see a psychologist or a counselor, and the 268 00:16:22,680 --> 00:16:25,520 Speaker 2: waiting lists for those are huge and there I've seen 269 00:16:25,680 --> 00:16:29,920 Speaker 2: a couple of psychologists on TikTok warning people saying, no, 270 00:16:30,080 --> 00:16:33,720 Speaker 2: this is not a solution. And I think there needs 271 00:16:33,720 --> 00:16:35,320 Speaker 2: to be a little bit more, like you said, some 272 00:16:35,400 --> 00:16:39,120 Speaker 2: literacy around what AI actually is and the advice that 273 00:16:39,160 --> 00:16:41,440 Speaker 2: it gives. It is only what you feed it, right. 274 00:16:41,560 --> 00:16:44,440 Speaker 1: Yes, yes, I mean I think they are as you say, 275 00:16:44,680 --> 00:16:51,640 Speaker 1: we have a growing need for mental support, I would 276 00:16:51,680 --> 00:16:59,040 Speaker 1: say across our societies and not enough psychologists, coaches and 277 00:16:59,120 --> 00:17:02,840 Speaker 1: so on. And I think AI can help to some extent, 278 00:17:03,000 --> 00:17:06,960 Speaker 1: but only in a safe space. There have been studies 279 00:17:07,000 --> 00:17:10,280 Speaker 1: that have shown that it is highly effective, and I 280 00:17:10,440 --> 00:17:15,959 Speaker 1: have examples also in my network that where experts and 281 00:17:16,119 --> 00:17:19,240 Speaker 1: psychologists were quite impressed what AI can actually do. But 282 00:17:19,920 --> 00:17:23,320 Speaker 1: just having a one positive example or a couple of 283 00:17:23,400 --> 00:17:26,920 Speaker 1: nice anecdotes doesn't mean it's safe to use. Somebody who 284 00:17:26,960 --> 00:17:30,720 Speaker 1: potentially uses it needs to be very aware what AI 285 00:17:30,880 --> 00:17:33,280 Speaker 1: can do and cannot do. But also we need to 286 00:17:33,320 --> 00:17:36,200 Speaker 1: make sure that the models go only that far. 287 00:17:36,640 --> 00:17:39,760 Speaker 2: And finally, what do you think the tech world or 288 00:17:39,800 --> 00:17:43,439 Speaker 2: the business world as a whole can learn from the 289 00:17:43,560 --> 00:17:46,160 Speaker 2: downfall of apps like Skype. 290 00:17:46,600 --> 00:17:52,480 Speaker 1: I think that many platforms that have been successful over 291 00:17:52,560 --> 00:17:57,840 Speaker 1: the last years, are very heavily uses centric. They're very 292 00:17:57,880 --> 00:18:01,160 Speaker 1: close to their users, and they're really understand and what 293 00:18:01,200 --> 00:18:04,320 Speaker 1: the users want, and they're quick to react. What we 294 00:18:04,400 --> 00:18:09,000 Speaker 1: can learn is that there's not a lot of tech loyalty, 295 00:18:09,320 --> 00:18:12,520 Speaker 1: so users will move on if they don't get the 296 00:18:12,560 --> 00:18:17,200 Speaker 1: experience anymore that they want. So it's really for a platform, 297 00:18:17,240 --> 00:18:20,880 Speaker 1: it's really important to understand what the users want. At 298 00:18:20,880 --> 00:18:25,119 Speaker 1: the same time, like the case of social media, also 299 00:18:25,119 --> 00:18:29,760 Speaker 1: shows that user interests and platform interests are not always aligned, right. 300 00:18:29,840 --> 00:18:32,639 Speaker 1: I mean, we know that social media platforms really thrive 301 00:18:33,240 --> 00:18:39,120 Speaker 1: with highly emotional for example, inflammatory posts and comments, so 302 00:18:39,960 --> 00:18:42,520 Speaker 1: because they want a high user engagement, they. 303 00:18:42,520 --> 00:18:43,359 Speaker 5: Will encourage that. 304 00:18:44,080 --> 00:18:48,720 Speaker 1: So here we actually also then need policies and laws 305 00:18:49,160 --> 00:18:55,040 Speaker 1: making sure that this yard doesn't further increase or it's 306 00:18:55,119 --> 00:18:58,879 Speaker 1: all contained in a way. So basically that we have 307 00:18:59,119 --> 00:19:06,000 Speaker 1: really key yeah, competing interests. I think in the long run, 308 00:19:06,320 --> 00:19:09,560 Speaker 1: it would be good to see more and more platforms 309 00:19:09,640 --> 00:19:14,320 Speaker 1: taking right decisions, not being after the on the short run, 310 00:19:14,359 --> 00:19:17,840 Speaker 1: after just the money, but also like after sustainable growth 311 00:19:17,960 --> 00:19:21,080 Speaker 1: that also is in the interest of the users in 312 00:19:21,160 --> 00:19:24,399 Speaker 1: terms of yeah, literally mental well being. 313 00:19:24,720 --> 00:19:26,160 Speaker 2: Thanks for joining us, Alex. 314 00:19:26,600 --> 00:19:27,480 Speaker 5: Thank you, Chelsea. 315 00:19:30,480 --> 00:19:33,600 Speaker 2: That's it for this episode of the Front Page. You 316 00:19:33,600 --> 00:19:37,440 Speaker 2: can read more about today's stories and extensive news coverage 317 00:19:37,480 --> 00:19:41,480 Speaker 2: at enzidherld dot co dot nz. The Front Page is 318 00:19:41,520 --> 00:19:45,240 Speaker 2: produced by Ethan Sills and Richard Martin, who is also 319 00:19:45,400 --> 00:19:50,080 Speaker 2: our sound engineer. I'm Chelsea Daniels. Subscribe to the Front 320 00:19:50,080 --> 00:19:53,719 Speaker 2: Page on iHeartRadio or wherever you get your podcasts, and 321 00:19:53,800 --> 00:19:57,400 Speaker 2: tune in tomorrow for another look behind the headlines.