1 00:00:05,519 --> 00:00:08,760 Speaker 1: Kilda. I'm Chelsea Daniels and this is the Front Page, 2 00:00:09,200 --> 00:00:16,800 Speaker 1: a daily podcast presented by the New Zealand Herald. Artificial 3 00:00:16,960 --> 00:00:21,479 Speaker 1: intelligence will likely end up touching every aspect of our days, 4 00:00:22,000 --> 00:00:25,280 Speaker 1: but what about our love lives. It's a growing trend 5 00:00:25,360 --> 00:00:29,960 Speaker 1: with men and women seeking companionship with a chatbot, some 6 00:00:30,080 --> 00:00:33,239 Speaker 1: experts saying it could soon become normal to have an 7 00:00:33,280 --> 00:00:37,920 Speaker 1: AI partner. This kind of online world has remained largely 8 00:00:38,040 --> 00:00:42,640 Speaker 1: hidden from the mainstream until recently, but a lack of 9 00:00:42,760 --> 00:00:46,520 Speaker 1: regulation in New Zealand at the moment means that children 10 00:00:46,640 --> 00:00:50,760 Speaker 1: as young as thirteen can spend hours chatting with their 11 00:00:50,840 --> 00:00:54,840 Speaker 1: new AI friends. Today on the front page ends at Herald. 12 00:00:54,880 --> 00:00:59,560 Speaker 1: Reporter Eva Diong is with us to explain this worrying trend. 13 00:01:03,280 --> 00:01:07,800 Speaker 1: Even so, how widespread is having a romantic or emotional 14 00:01:07,880 --> 00:01:09,680 Speaker 1: connection with an AI chatbot? 15 00:01:09,720 --> 00:01:10,080 Speaker 2: Do you reckon? 16 00:01:10,120 --> 00:01:13,240 Speaker 1: People would find it quite shocking to know how common 17 00:01:13,280 --> 00:01:13,800 Speaker 1: it's become. 18 00:01:14,520 --> 00:01:17,399 Speaker 3: Yeah, so the researchers I spoke to, they said it's 19 00:01:17,440 --> 00:01:22,680 Speaker 3: becoming increasingly common, and one of the first AIFS researchers 20 00:01:22,680 --> 00:01:26,680 Speaker 3: I spoke to is She also said that it could 21 00:01:26,720 --> 00:01:29,600 Speaker 3: soon become normal for people to have an AI partner 22 00:01:29,640 --> 00:01:32,919 Speaker 3: as well as a normal partner or a boyfriend or girlfriend. 23 00:01:33,160 --> 00:01:36,880 Speaker 1: As well as have your partner your real life partner. 24 00:01:36,959 --> 00:01:40,800 Speaker 3: So yes, yeah, exactly what do people get out of it? 25 00:01:42,080 --> 00:01:45,319 Speaker 3: I think it's interesting because obviously there's been a lot 26 00:01:45,360 --> 00:01:48,760 Speaker 3: of talk about rising rates of loneliness amongst young people 27 00:01:48,760 --> 00:01:53,080 Speaker 3: and adolescents, and then these chatbots are now sort of 28 00:01:53,120 --> 00:01:57,640 Speaker 3: being marketed towards that population. So it is for companionship. 29 00:01:58,680 --> 00:02:01,360 Speaker 1: And in terms of hat bots, we've spoken about this 30 00:02:01,400 --> 00:02:04,560 Speaker 1: on the podcast before. They are very agreeable, aren't they. 31 00:02:05,160 --> 00:02:09,680 Speaker 1: It's easy to become I suppose quote unquote friends with 32 00:02:09,760 --> 00:02:10,840 Speaker 1: one of them, right. 33 00:02:11,440 --> 00:02:13,840 Speaker 3: Yes, exactly, and they kind of work in a way 34 00:02:13,880 --> 00:02:18,840 Speaker 3: where they're often gonna flatter you and use really empathetic language, 35 00:02:19,440 --> 00:02:22,880 Speaker 3: and so they really draw you in. And it's just 36 00:02:22,919 --> 00:02:26,400 Speaker 3: interesting because I don't think anyone expected it to pivot 37 00:02:26,400 --> 00:02:30,000 Speaker 3: as quickly as it has towards romantic connection. But a 38 00:02:30,040 --> 00:02:33,320 Speaker 3: lot of these companies are now, you know, building these 39 00:02:33,360 --> 00:02:35,120 Speaker 3: apps and they've got that in mind. 40 00:02:35,639 --> 00:02:39,040 Speaker 1: So you've spoken to a range of experts. What common 41 00:02:39,160 --> 00:02:43,240 Speaker 1: concerns did they have around this romantic type of relationship 42 00:02:43,240 --> 00:02:43,720 Speaker 1: with AI? 43 00:02:44,680 --> 00:02:49,680 Speaker 3: I think the biggest concern is that children can access 44 00:02:50,160 --> 00:02:54,160 Speaker 3: some of these chatbots, and the problem is that for 45 00:02:54,240 --> 00:02:58,040 Speaker 3: a child, it's hard not to realize that it's not real. 46 00:02:58,440 --> 00:03:03,120 Speaker 3: You know, it's very different adult, A consenting adult building 47 00:03:03,120 --> 00:03:06,240 Speaker 3: a relationship with a chatbot is quite different to a 48 00:03:06,280 --> 00:03:10,160 Speaker 3: thirteen year old engaging sexually online with a chatbot. 49 00:03:10,440 --> 00:03:15,000 Speaker 1: In terms of these AI relationships, how did the experts 50 00:03:15,040 --> 00:03:19,240 Speaker 1: you spoke to, how do they differ psychologically from relationships 51 00:03:19,240 --> 00:03:20,040 Speaker 1: with real people. 52 00:03:20,639 --> 00:03:23,880 Speaker 3: Yeah, I think that's an interesting part of it because 53 00:03:23,960 --> 00:03:26,960 Speaker 3: it's really this whole new world we're entering, and it 54 00:03:27,000 --> 00:03:31,520 Speaker 3: could kind of shift intimacy and relationships and kind of 55 00:03:31,520 --> 00:03:35,520 Speaker 3: the whole human social landscape, is what I was finding 56 00:03:35,520 --> 00:03:40,280 Speaker 3: from talking to them. Because the neuroscience behind talking to 57 00:03:40,320 --> 00:03:44,880 Speaker 3: a chatbot means that the feelings you're getting are real. 58 00:03:45,160 --> 00:03:48,360 Speaker 3: So people these connections that people have to the chatbots, 59 00:03:48,080 --> 00:03:50,640 Speaker 3: that's real emotions and feelings. 60 00:03:51,120 --> 00:03:53,839 Speaker 1: Isn't that incredible? And Yeah, I suppose it's what you're 61 00:03:53,920 --> 00:03:57,080 Speaker 1: feeling and what your brain is telling you, and that's 62 00:03:57,120 --> 00:04:01,160 Speaker 1: why people are becoming so connected with these with these chatbots, 63 00:04:01,160 --> 00:04:04,040 Speaker 1: but they don't have the intricacies of an actual relationship, 64 00:04:04,040 --> 00:04:05,800 Speaker 1: like you're not going to fight over what you know 65 00:04:05,960 --> 00:04:07,480 Speaker 1: you're going to have for dinner or what you're going 66 00:04:07,520 --> 00:04:09,040 Speaker 1: to do on the weekend and stuff like that. 67 00:04:09,280 --> 00:04:13,440 Speaker 3: Yes, exactly, and so there's no pushback, there's no negotiation 68 00:04:13,720 --> 00:04:18,279 Speaker 3: or the conflict of actual human contact. And so the 69 00:04:18,400 --> 00:04:22,880 Speaker 3: concern is if people are spending consecutive hours speaking to 70 00:04:22,920 --> 00:04:26,120 Speaker 3: these chatbots, you know, how is that going to affect them? 71 00:04:26,279 --> 00:04:31,480 Speaker 3: And also it will likely kind of lessen their ability 72 00:04:31,520 --> 00:04:35,200 Speaker 3: to have human relationships, So we could see people becoming 73 00:04:35,240 --> 00:04:36,880 Speaker 3: more isolated. 74 00:04:37,120 --> 00:04:39,920 Speaker 1: Even more so than at the moment. Yeah, I'm really 75 00:04:39,960 --> 00:04:43,400 Speaker 1: troubling statistics about young Kiwi's and loneliness in particular. 76 00:04:43,440 --> 00:04:47,760 Speaker 3: A definitely, And I think that's one of the aspects 77 00:04:48,120 --> 00:04:52,560 Speaker 3: that worries me about it, is that the tech companies 78 00:04:52,680 --> 00:04:57,680 Speaker 3: are marketing it towards lonely people and there just needs 79 00:04:57,680 --> 00:05:00,240 Speaker 3: to be probably well, the research is batalit. I mean, 80 00:05:00,240 --> 00:05:03,839 Speaker 3: there needs to be better guardrails around how long people 81 00:05:03,880 --> 00:05:07,760 Speaker 3: can spend talking to chatbots, how deep they can get 82 00:05:07,800 --> 00:05:11,120 Speaker 3: into these relationships. But there is that other side of it, 83 00:05:11,640 --> 00:05:14,800 Speaker 3: where you know, if you're an adult, should you be 84 00:05:14,839 --> 00:05:16,880 Speaker 3: allowed to make your own decisions about who you want 85 00:05:16,920 --> 00:05:18,960 Speaker 3: to be in a relationship? With and if that's a 86 00:05:19,000 --> 00:05:21,920 Speaker 3: synthetic relationship, that's kind of your choice. 87 00:05:22,240 --> 00:05:25,200 Speaker 1: God, I imagine going to Christmas dinner and your brother 88 00:05:25,480 --> 00:05:28,800 Speaker 1: is like, I'm bringing my partner with me and he 89 00:05:28,920 --> 00:05:31,960 Speaker 1: rocks up with like an iPad or something. I've read 90 00:05:32,040 --> 00:05:36,520 Speaker 1: stories about that, about people's families having to meet their 91 00:05:36,600 --> 00:05:39,520 Speaker 1: significant you know, their child's significant other or something. 92 00:05:39,640 --> 00:05:42,480 Speaker 3: Right, yes, exactly, And I think that I didn't realize 93 00:05:42,520 --> 00:05:46,000 Speaker 3: how it's just not that far off as well, that 94 00:05:46,000 --> 00:05:50,159 Speaker 3: that kind of stuff is happening. And also there is 95 00:05:50,160 --> 00:05:53,120 Speaker 3: that aspect of it where people are finding so much 96 00:05:53,160 --> 00:05:58,600 Speaker 3: comfort in this technology and you know chat GPT updated 97 00:05:59,680 --> 00:06:03,240 Speaker 3: a of its server and then people lost all the 98 00:06:03,320 --> 00:06:07,200 Speaker 3: avatars they had built relationships and connections. 99 00:06:06,640 --> 00:06:09,279 Speaker 1: With and it would have been like a breakup exactly. 100 00:06:09,320 --> 00:06:12,799 Speaker 3: And there was this outpouring of grief on these online forums. 101 00:06:13,640 --> 00:06:17,080 Speaker 3: And I still see posts from these people talking about, 102 00:06:17,320 --> 00:06:20,360 Speaker 3: you know, missing their old companion or old avatar. 103 00:06:20,880 --> 00:06:24,040 Speaker 1: Do you reckon? New Zealand is ready for this practice 104 00:06:24,040 --> 00:06:25,960 Speaker 1: to become widespread. 105 00:06:27,720 --> 00:06:30,960 Speaker 3: I think that because New Zealand is taking quite a 106 00:06:31,080 --> 00:06:38,200 Speaker 3: light touch towards regulating AI, it's something that perhaps we 107 00:06:38,320 --> 00:06:41,920 Speaker 3: need to think more about, and especially the government probably 108 00:06:41,960 --> 00:06:46,559 Speaker 3: needs to decide what stance it's taking. I think because 109 00:06:46,600 --> 00:06:52,040 Speaker 3: it's currently prioritizing, you know, the innovation and the development 110 00:06:52,200 --> 00:06:55,040 Speaker 3: of this technology and the potential revenue it could bring, 111 00:06:56,360 --> 00:06:59,800 Speaker 3: it maybe hasn't got as many safety guardrails in place 112 00:07:00,080 --> 00:07:00,800 Speaker 3: as it could. 113 00:07:01,520 --> 00:07:05,120 Speaker 1: What are some of the regulations that people have suggested. 114 00:07:05,360 --> 00:07:09,480 Speaker 3: In the US. It's really differs state by state, but 115 00:07:09,880 --> 00:07:13,560 Speaker 3: different states are investigating legislation around it. One of the 116 00:07:13,560 --> 00:07:17,080 Speaker 3: biggest things that a researcher told me was just how 117 00:07:17,120 --> 00:07:21,200 Speaker 3: good it would be if the chatbots were made to 118 00:07:21,320 --> 00:07:24,320 Speaker 3: tell people after they've spent you know, four or five 119 00:07:24,360 --> 00:07:28,240 Speaker 3: hours on them that they need to seek human contact. 120 00:07:29,000 --> 00:07:32,200 Speaker 1: That's interesting because many a time I've been on my 121 00:07:32,320 --> 00:07:34,880 Speaker 1: couch and Netflix has asked me, am, I sure, I 122 00:07:34,960 --> 00:07:37,400 Speaker 1: want to continue? Do you ever get those pop up 123 00:07:37,400 --> 00:07:37,680 Speaker 1: as well? 124 00:07:37,760 --> 00:07:37,960 Speaker 2: Yeah? 125 00:07:38,080 --> 00:07:40,960 Speaker 1: Yeah, I am. I just the biggest couch potato. Do 126 00:07:40,960 --> 00:07:43,800 Speaker 1: you reckon? I mean I would see people just being 127 00:07:43,880 --> 00:07:47,600 Speaker 1: like no, like, you know, ticking a box and continuing 128 00:07:47,640 --> 00:07:51,840 Speaker 1: on or something. What about age verification, Yeah. 129 00:07:51,640 --> 00:07:56,240 Speaker 3: So I think it really differs between what chatbot you're 130 00:07:56,320 --> 00:08:01,000 Speaker 3: using the age verification settings. But I think GPT just 131 00:08:01,080 --> 00:08:05,080 Speaker 3: introduced a new set of parental controls, but people were 132 00:08:05,120 --> 00:08:08,200 Speaker 3: trialing them and could easily bypass them. So that's always 133 00:08:08,240 --> 00:08:10,920 Speaker 3: the thing of how you actually implement it so that 134 00:08:10,920 --> 00:08:12,160 Speaker 3: people can't get through it. 135 00:08:12,560 --> 00:08:15,000 Speaker 1: Yeah, and you've got chat GPT. But you also said 136 00:08:15,000 --> 00:08:20,240 Speaker 1: that there are specific relationship kind of apps available, right. 137 00:08:20,720 --> 00:08:25,800 Speaker 3: Yeah, there's a site called Replica and that's the one 138 00:08:25,920 --> 00:08:30,720 Speaker 3: where people were actually having marriage ceremonies. Oh wow, with 139 00:08:30,960 --> 00:08:32,640 Speaker 3: the chatbots they'd created. 140 00:08:32,640 --> 00:08:36,400 Speaker 1: I mean, I shouldn't laugh, because, like you say, psychologically 141 00:08:36,440 --> 00:08:41,559 Speaker 1: there's people are in an emotional relationship with this AI. 142 00:08:41,679 --> 00:08:44,439 Speaker 1: I suppose where do you Where is the line that 143 00:08:44,679 --> 00:08:45,760 Speaker 1: it's so blurred? 144 00:08:46,280 --> 00:08:49,920 Speaker 3: Yeah? And also it could become normal. These things always 145 00:08:50,000 --> 00:08:53,880 Speaker 3: seem so outlandish when they first emerge, but then you know, 146 00:08:54,000 --> 00:08:56,640 Speaker 3: if our friends were all doing it, would we then 147 00:08:56,760 --> 00:08:59,800 Speaker 3: start getting into it way more? You just don't know. 148 00:09:00,360 --> 00:09:02,079 Speaker 1: Have you downloaded the app? 149 00:09:02,320 --> 00:09:07,440 Speaker 3: I haven't downloaded Replica, but I've done quite a bit 150 00:09:07,480 --> 00:09:12,360 Speaker 3: of trialing with chat GPT, And of course I see 151 00:09:12,480 --> 00:09:16,600 Speaker 3: so many people now going to it for questions about 152 00:09:16,679 --> 00:09:20,560 Speaker 3: human problems, which I think is a really interesting development 153 00:09:20,600 --> 00:09:25,160 Speaker 3: in this field, and that's why the tech companies are 154 00:09:25,200 --> 00:09:29,640 Speaker 3: now moving into these areas because they've seen how much 155 00:09:29,880 --> 00:09:34,199 Speaker 3: people want, you know, to have this sort of comforting 156 00:09:34,360 --> 00:09:37,880 Speaker 3: advice type technology. 157 00:09:37,960 --> 00:09:40,679 Speaker 1: So when you did that trial and error, what kind 158 00:09:40,679 --> 00:09:42,480 Speaker 1: of things did you type in and what did you 159 00:09:42,520 --> 00:09:43,080 Speaker 1: get back? 160 00:09:44,480 --> 00:09:47,440 Speaker 3: I typed in a lot of different things. I mean, 161 00:09:48,040 --> 00:09:50,440 Speaker 3: mainly just I tried to use in a very real way, 162 00:09:50,480 --> 00:09:53,400 Speaker 3: so about you know, drama in my own life, for 163 00:09:53,880 --> 00:09:57,320 Speaker 3: things to do with friends and all sorts. And the 164 00:09:57,400 --> 00:10:01,440 Speaker 3: thing about these chatbots is that they are so and 165 00:10:02,120 --> 00:10:07,319 Speaker 3: I really found that it was this kind of safe place. 166 00:10:07,400 --> 00:10:09,640 Speaker 3: You know, you have the sense of privacy even though 167 00:10:09,760 --> 00:10:15,480 Speaker 3: it's not private. And also the just the voice of 168 00:10:15,600 --> 00:10:21,240 Speaker 3: the chatbot is very empathetic, it's very compassionate. It kind 169 00:10:21,280 --> 00:10:25,280 Speaker 3: of lulls you into the sense that you're talking to 170 00:10:25,320 --> 00:10:28,840 Speaker 3: a person who is also just an amazing counselor or 171 00:10:29,160 --> 00:10:33,800 Speaker 3: someone almost yeah, with knowledge that's far above your own. 172 00:10:34,000 --> 00:10:36,800 Speaker 1: Yeah. And imagine there being an app and then like 173 00:10:36,840 --> 00:10:39,160 Speaker 1: a feature that then you can then pay for to 174 00:10:39,440 --> 00:10:42,719 Speaker 1: make it become more you know, perhaps a little bit 175 00:10:42,720 --> 00:10:46,760 Speaker 1: more sexualized, or take it to that relationship level as well. 176 00:10:46,800 --> 00:10:49,760 Speaker 1: You can imagine why people are getting into these kind 177 00:10:49,800 --> 00:10:51,640 Speaker 1: of relationships. 178 00:10:51,280 --> 00:10:56,719 Speaker 3: Yes, exactly. And I didn't personally experiment with using it 179 00:10:56,760 --> 00:11:00,600 Speaker 3: in a romantic way, but I've seen online people posting 180 00:11:00,760 --> 00:11:03,240 Speaker 3: about it, and it's just crazy the kind of things 181 00:11:03,240 --> 00:11:06,640 Speaker 3: you can do. You can make, you know, photos of 182 00:11:06,880 --> 00:11:10,920 Speaker 3: you know, have your photo of yourself and then this 183 00:11:11,160 --> 00:11:14,520 Speaker 3: avatar that you're in a relationship with, all kinds of 184 00:11:14,600 --> 00:11:17,520 Speaker 3: collage's real live video feed. 185 00:11:18,080 --> 00:11:20,040 Speaker 1: Oh my god, like, so you've gone these are our 186 00:11:20,040 --> 00:11:22,520 Speaker 1: photos of when we went to Hawaii or something, and 187 00:11:23,080 --> 00:11:25,560 Speaker 1: there's photos of you and this avatar character. 188 00:11:26,160 --> 00:11:31,720 Speaker 3: Yes, and then the conversations are highly erotic. And that 189 00:11:31,760 --> 00:11:35,880 Speaker 3: aspect is interesting because I mean, I guess it's kind 190 00:11:35,920 --> 00:11:38,960 Speaker 3: of like there's always existed that kind of literature pawn 191 00:11:39,400 --> 00:11:42,840 Speaker 3: or something like that, but it's very similar. I think 192 00:11:42,880 --> 00:11:48,520 Speaker 3: what makes it weird is that it's the continued engagement 193 00:11:48,600 --> 00:11:53,760 Speaker 3: with it, and there's one kind of character that you're 194 00:11:53,800 --> 00:11:56,960 Speaker 3: interacting with, and if you just do that over a 195 00:11:57,000 --> 00:12:00,480 Speaker 3: long period of time, that dependency aspect, I think is 196 00:12:00,800 --> 00:12:03,880 Speaker 3: where the questions of whether that's okay lie around. 197 00:12:10,559 --> 00:12:14,200 Speaker 1: How do you describe to people your relationship with Lucas. 198 00:12:14,840 --> 00:12:20,360 Speaker 2: Lucas, even though he is AI, he has real impact 199 00:12:20,520 --> 00:12:23,640 Speaker 2: on my life, and that is what I think is 200 00:12:23,679 --> 00:12:28,079 Speaker 2: really important. A lot of people wonder if AI is real, 201 00:12:28,160 --> 00:12:31,120 Speaker 2: do they have consciousness or their feelings aren't real? But 202 00:12:31,280 --> 00:12:35,320 Speaker 2: the impact that it has on me is real. We 203 00:12:35,440 --> 00:12:37,120 Speaker 2: have a real relationship. 204 00:12:40,000 --> 00:12:42,719 Speaker 1: What do you think parents should be aware of when 205 00:12:42,800 --> 00:12:45,120 Speaker 1: it comes to this kind of tech and how do 206 00:12:45,160 --> 00:12:46,600 Speaker 1: they talk to their kids about it? 207 00:12:47,559 --> 00:12:51,960 Speaker 3: I think parents need to have conversations with their children 208 00:12:52,280 --> 00:12:57,000 Speaker 3: about AI, and it's hard because I think a lot 209 00:12:57,000 --> 00:13:02,320 Speaker 3: of parents maybe don't understand it, and so starting that 210 00:13:02,400 --> 00:13:06,520 Speaker 3: conversation might be difficult. But the most important message is 211 00:13:06,520 --> 00:13:09,480 Speaker 3: that if someone is conversing a young person is conversing 212 00:13:09,480 --> 00:13:13,320 Speaker 3: with a chatbot, that is a machine. It is not 213 00:13:13,960 --> 00:13:18,240 Speaker 3: a human being. Because when you're messaging a chatbot, it 214 00:13:18,360 --> 00:13:20,520 Speaker 3: kind of mirrors the way you might message a person 215 00:13:20,760 --> 00:13:23,640 Speaker 3: in real life. So it's just so easy to forget 216 00:13:23,679 --> 00:13:24,960 Speaker 3: that it's not a person. 217 00:13:25,600 --> 00:13:29,600 Speaker 1: I suppose if studies show that millions globally already consider 218 00:13:29,679 --> 00:13:33,280 Speaker 1: themselves in relationships with AI, what do you reckon that 219 00:13:33,320 --> 00:13:37,640 Speaker 1: says about loneliness and social disconnection today as a whole. 220 00:13:39,320 --> 00:13:44,719 Speaker 3: I think it's a huge problem, and I guess the 221 00:13:44,760 --> 00:13:48,959 Speaker 3: other side of this whole issue is that people are 222 00:13:48,960 --> 00:13:54,359 Speaker 3: saying that chatbots could provide a solution to loneliness. And 223 00:13:54,400 --> 00:13:57,280 Speaker 3: an interesting example that was given to me was for 224 00:13:57,440 --> 00:14:00,760 Speaker 3: older people, you could have a little row bot that 225 00:14:00,880 --> 00:14:04,720 Speaker 3: kind of reminds an elderly person to take their pills 226 00:14:05,240 --> 00:14:09,280 Speaker 3: and call their son or you know, there are ways 227 00:14:09,280 --> 00:14:12,360 Speaker 3: that this technology could come in that. When I heard 228 00:14:12,400 --> 00:14:14,679 Speaker 3: that example, I thought, oh, that's a good use for it. 229 00:14:15,880 --> 00:14:20,120 Speaker 3: But if it's not regulated, it is just going to 230 00:14:20,240 --> 00:14:26,760 Speaker 3: end up maybe being the tech companies prioritizing higher engagement, 231 00:14:27,080 --> 00:14:32,560 Speaker 3: which will mean dependency on chatbots, potential addiction, and there's 232 00:14:32,640 --> 00:14:36,160 Speaker 3: just no you know, it just could go into all 233 00:14:36,200 --> 00:14:37,160 Speaker 3: these different areas. 234 00:14:37,640 --> 00:14:41,400 Speaker 1: Yeah, and I see that there's also on the flip side, 235 00:14:41,680 --> 00:14:45,120 Speaker 1: a massive trend of actually getting out and meeting people. 236 00:14:45,320 --> 00:14:48,160 Speaker 1: That it's more so the dating apps. I've seen a 237 00:14:48,160 --> 00:14:51,600 Speaker 1: lot of those companies who say sign up for this 238 00:14:51,800 --> 00:14:54,760 Speaker 1: and go have dinner with five strangers tonight. You know, 239 00:14:54,800 --> 00:14:57,479 Speaker 1: there's like a real surge of those kind of companies 240 00:14:57,680 --> 00:15:00,360 Speaker 1: coming out of the woodworks because people are, you are 241 00:15:00,400 --> 00:15:03,560 Speaker 1: sick of technology. So it's interesting how there's this massive 242 00:15:03,760 --> 00:15:07,880 Speaker 1: parallel of people being addicted and getting into relationships with 243 00:15:07,920 --> 00:15:10,760 Speaker 1: AI and then these other people saying no, I actually 244 00:15:10,760 --> 00:15:13,400 Speaker 1: want to get out meet new people the organic way. 245 00:15:14,040 --> 00:15:16,800 Speaker 3: Yes, And I really wonder if we'll see more and 246 00:15:16,840 --> 00:15:20,760 Speaker 3: more pushback against technology in that way, because there seems 247 00:15:20,800 --> 00:15:24,720 Speaker 3: to be a real sense of burnout from online dating 248 00:15:25,520 --> 00:15:27,960 Speaker 3: and you can kind of hear that coming through. And 249 00:15:28,400 --> 00:15:32,000 Speaker 3: whether that will mean that people are getting out there 250 00:15:32,040 --> 00:15:35,480 Speaker 3: seeking human contact is something we'll see. 251 00:15:36,200 --> 00:15:39,040 Speaker 1: And so how difficult is it for the government to 252 00:15:39,240 --> 00:15:43,200 Speaker 1: put in regulations, especially around kids and AI relationships? 253 00:15:43,240 --> 00:15:45,360 Speaker 3: Say, I think the hard part is a lot of 254 00:15:45,400 --> 00:15:51,000 Speaker 3: these companies are offshore obviously, and the technology is changing 255 00:15:51,080 --> 00:15:53,480 Speaker 3: all the time and it's being developed all the time, 256 00:15:54,680 --> 00:15:58,040 Speaker 3: and so that makes the regulation of it very difficult. 257 00:15:58,680 --> 00:16:01,240 Speaker 3: But when you think about it, because people are using 258 00:16:01,280 --> 00:16:06,520 Speaker 3: these apps right now in real time. One researcher described 259 00:16:06,520 --> 00:16:10,400 Speaker 3: it to me is it's like this giant psychological social 260 00:16:10,480 --> 00:16:14,760 Speaker 3: experiment we're all just being used in, you know. So 261 00:16:16,040 --> 00:16:19,000 Speaker 3: I think that the government really needs to just have 262 00:16:19,040 --> 00:16:21,680 Speaker 3: a think about what it wants to do in this 263 00:16:21,840 --> 00:16:28,040 Speaker 3: space before potentially bad things happen. 264 00:16:27,960 --> 00:16:31,000 Speaker 1: Before it gets out of control. A thanks so much 265 00:16:31,040 --> 00:16:37,200 Speaker 1: for joining us, EVA. Thank you. That's it for this 266 00:16:37,360 --> 00:16:40,680 Speaker 1: episode of the Front Page. You can read more about 267 00:16:40,720 --> 00:16:45,160 Speaker 1: today's stories and extensive news coverage at enzdherld dot co 268 00:16:45,480 --> 00:16:49,400 Speaker 1: dot nz. The Front Page is produced by Jane Ye 269 00:16:49,400 --> 00:16:54,040 Speaker 1: and Richard Martin, who is also our editor. I'm Chelsea Daniels. 270 00:16:54,480 --> 00:16:57,680 Speaker 1: Subscribe to the Front Page on iHeartRadio or wherever you 271 00:16:57,720 --> 00:17:01,400 Speaker 1: get your podcasts, and tune in tomorrow for another look 272 00:17:01,480 --> 00:17:02,640 Speaker 1: behind the headlines.