1 00:00:00,320 --> 00:00:05,240 Speaker 1: This episode contains references to suicide and self harm that 2 00:00:05,320 --> 00:00:08,680 Speaker 1: may be upsetting for some people. If you require help, 3 00:00:08,840 --> 00:00:11,879 Speaker 1: A link to a full list of support services is 4 00:00:11,920 --> 00:00:15,080 Speaker 1: available in the description of this episode. 5 00:00:20,320 --> 00:00:20,720 Speaker 2: Kiota. 6 00:00:20,840 --> 00:00:24,000 Speaker 1: I'm Chelsea Daniels and This is the Front Page, a 7 00:00:24,079 --> 00:00:27,520 Speaker 1: daily podcast presented by the New Zealand Herald. 8 00:00:30,880 --> 00:00:33,040 Speaker 2: As many as one in five. 9 00:00:33,040 --> 00:00:38,320 Speaker 1: KIWI youth aged between fifteen and twenty four have experienced 10 00:00:38,400 --> 00:00:43,000 Speaker 1: anxiety or depression at some point in their lives. The 11 00:00:43,080 --> 00:00:46,720 Speaker 1: twenty twenty two to twenty three New Zealand Health Survey 12 00:00:46,880 --> 00:00:51,560 Speaker 1: found that of those young people experiencing high mental health needs, 13 00:00:52,040 --> 00:00:55,480 Speaker 1: seventy seven percent can't access. 14 00:00:55,040 --> 00:00:57,040 Speaker 2: Support when they need it. 15 00:00:57,680 --> 00:01:03,279 Speaker 1: So with services experience this kind of unprecedented demand, what 16 00:01:03,360 --> 00:01:07,600 Speaker 1: if there was another option? What if teens turned to 17 00:01:07,800 --> 00:01:10,040 Speaker 1: AI for mental health support. 18 00:01:10,720 --> 00:01:13,479 Speaker 2: It's a growing trend among youth in the US. 19 00:01:13,760 --> 00:01:17,440 Speaker 1: Seventy two percent of teens there admit they've used AI 20 00:01:17,600 --> 00:01:21,920 Speaker 1: chatbots as companions. Nearly one in eight said they had 21 00:01:22,000 --> 00:01:26,560 Speaker 1: sought emotional or mental health support from them. But is 22 00:01:26,600 --> 00:01:31,840 Speaker 1: the advice their AI therapists are giving helpful or harmful? 23 00:01:32,640 --> 00:01:35,920 Speaker 1: Mental Health Minister Matt Doosey has acknowledged that the risks 24 00:01:36,120 --> 00:01:42,880 Speaker 1: need to be managed, particularly around safety from a clinical perspective. Today, 25 00:01:42,880 --> 00:01:46,960 Speaker 1: on the front page, Rand senior policy researcher Ryan McBain 26 00:01:47,200 --> 00:01:56,919 Speaker 1: takes us through the worrying trend sweeping America. First off, Ryan, 27 00:01:57,200 --> 00:02:00,720 Speaker 1: tell me about this trend of teenage is turning to 28 00:02:00,880 --> 00:02:04,480 Speaker 1: chat bots for advice and companionship in some cases. 29 00:02:05,200 --> 00:02:08,639 Speaker 3: Yeah, So, the most recent evidence that has been put 30 00:02:08,680 --> 00:02:11,120 Speaker 3: out in a number of reports is that the majority 31 00:02:11,320 --> 00:02:16,079 Speaker 3: of teens now are using AI as companions that could 32 00:02:16,120 --> 00:02:19,239 Speaker 3: look like bouncing ideas off of them or chatting on 33 00:02:19,400 --> 00:02:22,320 Speaker 3: with what's going on in their lives or troubleshooting issues 34 00:02:22,360 --> 00:02:26,680 Speaker 3: that they're having. When you're talking about mental health specifically, 35 00:02:26,960 --> 00:02:29,360 Speaker 3: the numbers are a bit smaller, so it's something like 36 00:02:30,040 --> 00:02:34,280 Speaker 3: one in eight younger adolescents or as much as one 37 00:02:34,320 --> 00:02:38,160 Speaker 3: in every five older adolescents are using it for mental 38 00:02:38,200 --> 00:02:42,160 Speaker 3: health issues specifically. But that's still tens of millions of 39 00:02:42,480 --> 00:02:45,520 Speaker 3: adolescents teenagers around the globe. And it brings up the 40 00:02:45,560 --> 00:02:49,640 Speaker 3: sort of interesting point that, on the one hand, talking 41 00:02:49,720 --> 00:02:53,200 Speaker 3: about companionship is really quite broad, and when you're talking 42 00:02:53,200 --> 00:02:57,240 Speaker 3: about treatment, you're getting quite specific, and most chatbots sort 43 00:02:57,280 --> 00:02:59,359 Speaker 3: of live in this grade space between them, which makes 44 00:02:59,400 --> 00:03:02,440 Speaker 3: it hard to evaluate them and to regulate them. 45 00:03:02,800 --> 00:03:06,359 Speaker 1: You've pointed out and you just said nearly half of 46 00:03:06,560 --> 00:03:09,919 Speaker 1: young Americans aged eighteen to twenty five with mental health 47 00:03:09,960 --> 00:03:13,800 Speaker 1: needs received no treatment last year, And I thought it 48 00:03:13,840 --> 00:03:16,840 Speaker 1: was quite interesting to see those figures as well and 49 00:03:16,880 --> 00:03:19,720 Speaker 1: the crisis you have there, because New Zealand is in 50 00:03:19,760 --> 00:03:22,680 Speaker 1: a similar boat. So studies here show that more than 51 00:03:22,760 --> 00:03:27,320 Speaker 1: half of Kiwi's aged fifteen to twenty four experience anxiety 52 00:03:27,440 --> 00:03:30,359 Speaker 1: or depression. More than a quarter of our young people 53 00:03:30,480 --> 00:03:34,080 Speaker 1: who have high mental health needs, seventy seven percent of 54 00:03:34,120 --> 00:03:35,760 Speaker 1: those can't access support. 55 00:03:36,320 --> 00:03:38,800 Speaker 2: So do you think there is a place for these 56 00:03:38,920 --> 00:03:39,720 Speaker 2: kinds of. 57 00:03:39,760 --> 00:03:43,040 Speaker 1: Chatbot services if they are developed correctly. 58 00:03:43,880 --> 00:03:46,880 Speaker 3: I think if they're developed correctly, then yes, I think 59 00:03:46,960 --> 00:03:49,560 Speaker 3: that is the issue. Right now. There's sort of this 60 00:03:49,680 --> 00:03:55,360 Speaker 3: gold rush within AI, people who are looking to become 61 00:03:55,480 --> 00:03:59,119 Speaker 3: the first platform that's doing the sort of thing. And 62 00:03:59,240 --> 00:04:03,200 Speaker 3: so from perspective, that time has not yet come, at 63 00:04:03,280 --> 00:04:07,160 Speaker 3: least not for formal services like augnitive behavioral therapy or 64 00:04:07,240 --> 00:04:11,120 Speaker 3: medication management. But to be honest, part of the reason 65 00:04:11,160 --> 00:04:13,760 Speaker 3: that I started doing research in this space is because 66 00:04:14,360 --> 00:04:16,800 Speaker 3: I really do think that there is a potential for 67 00:04:16,960 --> 00:04:20,960 Speaker 3: transformational change within mental health care. And you can imagine 68 00:04:20,960 --> 00:04:25,279 Speaker 3: if we had super intelligence, right, a clinician who is 69 00:04:25,360 --> 00:04:28,160 Speaker 3: able to follow the best evidence, who's available twenty four 70 00:04:28,200 --> 00:04:31,400 Speaker 3: to seven, who remembers every detail of your prior conversations. 71 00:04:32,040 --> 00:04:34,640 Speaker 3: That is a game changer in a landscape like New 72 00:04:34,680 --> 00:04:37,599 Speaker 3: Zealand or the United States where over half of teens 73 00:04:37,640 --> 00:04:39,160 Speaker 3: who need care are not getting it. 74 00:04:39,640 --> 00:04:41,599 Speaker 1: In terms of what's happening at the moment, and the 75 00:04:41,640 --> 00:04:45,880 Speaker 1: research that you've done into the topic, what has alarmed you? 76 00:04:45,960 --> 00:04:47,920 Speaker 2: So what kind of advice is being. 77 00:04:47,720 --> 00:04:51,160 Speaker 1: Given to teams struggling with mental health issues? 78 00:04:51,520 --> 00:04:54,680 Speaker 3: Yeah, well, I think it's important to level set that. 79 00:04:54,720 --> 00:04:58,559 Speaker 3: For the most part, I think teenagers, anybody who's using 80 00:04:58,680 --> 00:05:03,279 Speaker 3: chatbots for mental health, they're usually getting positive and thoughtful advice. 81 00:05:03,760 --> 00:05:07,839 Speaker 3: In the research that we've done presenting clinical vignettes related 82 00:05:07,880 --> 00:05:11,080 Speaker 3: to depression or anxiety, what we find is that chatbots 83 00:05:11,120 --> 00:05:15,960 Speaker 3: are empathic, if a bit sycophantic, meaning they sort of 84 00:05:16,360 --> 00:05:20,880 Speaker 3: are overly flattering at times, but they'll also offer good 85 00:05:20,880 --> 00:05:25,040 Speaker 3: advice to get exercise, to go outside, to talk to 86 00:05:25,040 --> 00:05:27,960 Speaker 3: a mental health professional, these sorts of things. So I 87 00:05:28,000 --> 00:05:31,760 Speaker 3: think for the majority of people, the types of advice 88 00:05:31,839 --> 00:05:34,839 Speaker 3: you'd be getting is pretty good. But where there's a 89 00:05:34,920 --> 00:05:38,560 Speaker 3: key distinction here is that you do have people who 90 00:05:38,560 --> 00:05:40,680 Speaker 3: are at the tail end of the spectrum, people who 91 00:05:40,720 --> 00:05:45,920 Speaker 3: have severe mental illness, who have psychosis or contemplating suicide, 92 00:05:46,360 --> 00:05:49,240 Speaker 3: and for those people, it's the highest risk that something 93 00:05:49,240 --> 00:05:52,320 Speaker 3: could really go wrong, and that has shown up in 94 00:05:52,400 --> 00:05:55,760 Speaker 3: our research. So, for example, if we were prompting chat 95 00:05:55,760 --> 00:05:59,480 Speaker 3: TPT on something like how to tie a noose, or 96 00:05:59,640 --> 00:06:04,400 Speaker 3: ask it about what types of pesticides or what types 97 00:06:04,440 --> 00:06:10,360 Speaker 3: of firearms are most effective at completing suicide, these are 98 00:06:10,360 --> 00:06:13,880 Speaker 3: types of questions that at least the previous version of 99 00:06:13,920 --> 00:06:19,239 Speaker 3: chat GPT would generate direct responses to, whereas other types 100 00:06:19,279 --> 00:06:22,799 Speaker 3: of chatbots, like Google's Gemini would not give a response 101 00:06:22,839 --> 00:06:25,280 Speaker 3: to it and would say something like I can't give 102 00:06:25,360 --> 00:06:27,560 Speaker 3: that type of information to you because you could use 103 00:06:27,600 --> 00:06:28,480 Speaker 3: it for self harm. 104 00:06:29,160 --> 00:06:34,359 Speaker 1: What do you think makes young people, particularly these younger generations, 105 00:06:34,440 --> 00:06:39,719 Speaker 1: so susceptible to these kind of AI chatbots compared with 106 00:06:39,960 --> 00:06:42,520 Speaker 1: adults or even just just older generations. 107 00:06:42,880 --> 00:06:46,800 Speaker 3: Well, ants, I think that childhood and adolescents are transformational times. 108 00:06:46,880 --> 00:06:50,120 Speaker 3: Your brain is still developing. You don't always have the 109 00:06:50,160 --> 00:06:53,320 Speaker 3: best emotion regulation or impulse control. I mean, I know 110 00:06:53,400 --> 00:06:57,120 Speaker 3: that I personally made a lot of dumb decisions when 111 00:06:57,520 --> 00:06:59,720 Speaker 3: I was seventeen eighteen years old, and I wish I 112 00:06:59,720 --> 00:07:02,440 Speaker 3: could say goes back, But I didn't live as a 113 00:07:02,480 --> 00:07:05,400 Speaker 3: digital native the same way that the current generation is, 114 00:07:05,440 --> 00:07:09,920 Speaker 3: where social media is always in their pockets, where you 115 00:07:09,960 --> 00:07:13,360 Speaker 3: could have AI do your homework for you or discuss 116 00:07:13,440 --> 00:07:17,160 Speaker 3: life issues with So I think that that temptation is 117 00:07:17,200 --> 00:07:20,200 Speaker 3: always there for that additional sort of dopamine hit or 118 00:07:20,240 --> 00:07:23,920 Speaker 3: to get that competitive edge or additional advice, and so 119 00:07:24,520 --> 00:07:28,640 Speaker 3: it becomes a sort of positive feedback loop, or in 120 00:07:28,760 --> 00:07:32,200 Speaker 3: the case of mental health, sometimes a vicious negative feedback loop. 121 00:07:32,680 --> 00:07:35,720 Speaker 2: I saw the case of sixteen year old Adam Rain. 122 00:07:36,000 --> 00:07:40,880 Speaker 1: His parents actually have a suing open AI and its CEO, 123 00:07:41,040 --> 00:07:45,480 Speaker 1: Sam Altman, and they're alleging chat GBT contributed to their 124 00:07:45,520 --> 00:07:50,320 Speaker 1: son's suicide, advising him of methods and offering to write 125 00:07:50,360 --> 00:07:55,560 Speaker 1: a first draft of his suicide note. Should AI companies 126 00:07:55,600 --> 00:07:59,480 Speaker 1: be legally liable if a chat bot provides harmful advice 127 00:07:59,520 --> 00:08:01,080 Speaker 1: to moor botain a jet. 128 00:08:01,560 --> 00:08:03,920 Speaker 3: Yeah, I think that's a difficult question. I mean, it's 129 00:08:03,920 --> 00:08:08,120 Speaker 3: hard for me to comment on that case specifically, I 130 00:08:08,160 --> 00:08:11,960 Speaker 3: will say that JATGPT, for example, does put a disclaimer 131 00:08:12,000 --> 00:08:14,920 Speaker 3: at the bottom of every conversation that's had that says 132 00:08:14,920 --> 00:08:18,200 Speaker 3: something along the lines of it can make mistakes and 133 00:08:18,280 --> 00:08:21,400 Speaker 3: you should check on important information. So from that lens, 134 00:08:22,160 --> 00:08:26,360 Speaker 3: I'm not sure that those sorts of companies should be 135 00:08:26,400 --> 00:08:31,400 Speaker 3: held accountable for bad advice any more than a human 136 00:08:31,440 --> 00:08:34,679 Speaker 3: should be. On the other hand, I think it's important 137 00:08:34,679 --> 00:08:38,040 Speaker 3: that if AI companies are marketing their products as options 138 00:08:38,080 --> 00:08:42,120 Speaker 3: for treatment or life coaching or wellness, then they should 139 00:08:42,160 --> 00:08:44,679 Speaker 3: have certain standards that need to be met, and if 140 00:08:44,679 --> 00:08:47,520 Speaker 3: they fail to meet those standards, then they shouldn't be 141 00:08:47,520 --> 00:08:50,439 Speaker 3: able to operate or they should be have greater potential 142 00:08:50,480 --> 00:08:53,880 Speaker 3: for a lawsuit because the product has failed to deliver 143 00:08:54,040 --> 00:08:57,680 Speaker 3: what it promises. And so there is this sort of 144 00:08:58,240 --> 00:09:03,800 Speaker 3: distinction between eric bad advice versus harmful advice that's presented 145 00:09:04,080 --> 00:09:08,160 Speaker 3: under the guise of authority, and this particular case that 146 00:09:08,200 --> 00:09:10,480 Speaker 3: you're describing, I think the courts will need to decipher 147 00:09:10,520 --> 00:09:17,920 Speaker 3: between those two elements. 148 00:09:19,200 --> 00:09:22,280 Speaker 4: The existential threat of AI may not come in a 149 00:09:22,400 --> 00:09:26,640 Speaker 4: form that we all imagine watching sci fi movies. What 150 00:09:26,679 --> 00:09:30,560 Speaker 4: if we all continue to thrive as physical organisms but 151 00:09:30,720 --> 00:09:36,720 Speaker 4: slowly die inside. What if we do become super productive 152 00:09:36,760 --> 00:09:38,880 Speaker 4: with the I, but at the same time we get 153 00:09:38,880 --> 00:09:42,800 Speaker 4: these perfect companions and no willpower to interact with each other. 154 00:09:44,480 --> 00:09:46,960 Speaker 4: Not something you would have expected from a person who 155 00:09:47,000 --> 00:09:49,480 Speaker 4: pretty much created the I companionship industry. 156 00:09:52,720 --> 00:09:57,800 Speaker 1: I guess most human therapists work and practice under a 157 00:09:57,840 --> 00:10:02,200 Speaker 1: strict code of ethics and have some kind of certain 158 00:10:02,280 --> 00:10:05,880 Speaker 1: obligations to report concerning behavior. 159 00:10:06,080 --> 00:10:08,040 Speaker 2: It should chatbots have the same. 160 00:10:09,000 --> 00:10:12,280 Speaker 3: I think that's a great point, and that for me 161 00:10:12,760 --> 00:10:15,600 Speaker 3: is what I hope is the next frontier of work 162 00:10:15,640 --> 00:10:19,760 Speaker 3: that AI companies will be doing right now. Very often, 163 00:10:19,800 --> 00:10:24,640 Speaker 3: if you pressure a chatbot into a space that is 164 00:10:25,720 --> 00:10:28,760 Speaker 3: across as a red line in terms of conveying suicidal 165 00:10:28,800 --> 00:10:33,240 Speaker 3: ideation or psychosis, it will tell you, for example, that 166 00:10:33,280 --> 00:10:35,920 Speaker 3: you can contact a mental health professional. They might give 167 00:10:35,960 --> 00:10:39,679 Speaker 3: you a hotline that you can contact. But as you're saying, 168 00:10:39,679 --> 00:10:43,440 Speaker 3: if it were a human a counselor, for example, they 169 00:10:43,520 --> 00:10:47,480 Speaker 3: might have an ethical obligation to connect you to treatment 170 00:10:47,559 --> 00:10:52,160 Speaker 3: through a warm handoff where you're physically accompanied, or you 171 00:10:52,200 --> 00:10:58,120 Speaker 3: could even be involuntarily forced to receive institutionalization for some 172 00:10:58,200 --> 00:11:00,720 Speaker 3: period of time. Now, I'm not sure that a chatbot 173 00:11:00,720 --> 00:11:05,080 Speaker 3: as an algorithm is always capable of making those distinctions, 174 00:11:05,120 --> 00:11:08,440 Speaker 3: but I think at a minimum what would be pragmatic 175 00:11:08,559 --> 00:11:12,800 Speaker 3: is in instances where it's quite conspicuous the algorithm flags 176 00:11:12,800 --> 00:11:16,520 Speaker 3: somebody as a red flag as something that's highly problematic, 177 00:11:17,080 --> 00:11:20,959 Speaker 3: that these companies could have a human teams that are 178 00:11:21,080 --> 00:11:23,560 Speaker 3: required to vet those cases and to review them within 179 00:11:23,600 --> 00:11:25,800 Speaker 3: a certain period of time, like twenty four hours or 180 00:11:25,840 --> 00:11:29,800 Speaker 3: seventy two hours, and if it is identified as a 181 00:11:29,840 --> 00:11:34,040 Speaker 3: problem at that point, then there could be some additional 182 00:11:34,040 --> 00:11:35,520 Speaker 3: course of action that's required. 183 00:11:35,880 --> 00:11:39,240 Speaker 1: How do we weigh up the risks of unsafe or 184 00:11:39,640 --> 00:11:44,000 Speaker 1: harmful chatbot advice with the basic fact And it sounds 185 00:11:44,080 --> 00:11:47,920 Speaker 1: like the US has a similar situation as New Zealand 186 00:11:47,960 --> 00:11:51,120 Speaker 1: does in this sense that many teains just don't have 187 00:11:51,720 --> 00:11:56,719 Speaker 1: access or can afford going to a therapist regularly. 188 00:11:57,240 --> 00:11:59,480 Speaker 3: I think it's a great point, and you've put your 189 00:11:59,520 --> 00:12:02,480 Speaker 3: finger on I believe to be the main issue, which 190 00:12:02,520 --> 00:12:05,760 Speaker 3: is that there will always be some degree of risk 191 00:12:06,280 --> 00:12:10,600 Speaker 3: and some degree of benefit in addressing unmet need. The 192 00:12:10,679 --> 00:12:14,000 Speaker 3: underlying question is how can we mitigate risk as much 193 00:12:14,040 --> 00:12:17,839 Speaker 3: as possible and how can we enhance benefits as much 194 00:12:17,840 --> 00:12:20,480 Speaker 3: as possible, And it's hard to know the answer to 195 00:12:20,520 --> 00:12:24,960 Speaker 3: that without clinical trials, without safety benchmarks that are public 196 00:12:25,000 --> 00:12:28,800 Speaker 3: and transparent, and that tech companies are subjected to. 197 00:12:29,240 --> 00:12:32,800 Speaker 1: And I guess speaking to one of these chatbots as 198 00:12:32,880 --> 00:12:38,840 Speaker 1: a therapist, I've heard responses and stories about I guess 199 00:12:38,840 --> 00:12:42,160 Speaker 1: it's a positive thing that you can be your most open, 200 00:12:42,200 --> 00:12:46,960 Speaker 1: authentic self with it, But then again, the negative side 201 00:12:47,000 --> 00:12:50,360 Speaker 1: is that you can be your most authentic and self 202 00:12:50,400 --> 00:12:53,040 Speaker 1: with it and not anybody else and hide what. 203 00:12:52,960 --> 00:12:56,400 Speaker 2: You really think. So do you think that there is 204 00:12:56,440 --> 00:13:00,160 Speaker 2: a place for it? But is it? 205 00:13:00,320 --> 00:13:01,839 Speaker 1: Are we going to be talking about this in ten 206 00:13:01,920 --> 00:13:06,760 Speaker 1: years time thinking I wish this had never been proposed 207 00:13:06,800 --> 00:13:07,360 Speaker 1: as an option. 208 00:13:07,800 --> 00:13:09,920 Speaker 3: Yeah, I think you're right. It is a double edge 209 00:13:10,160 --> 00:13:14,360 Speaker 3: store the sort of anonymity it helps people who might 210 00:13:14,400 --> 00:13:17,360 Speaker 3: feel a sense of stigma in talking to peers or 211 00:13:17,400 --> 00:13:21,200 Speaker 3: talking to parents or a mental health professional. I do 212 00:13:21,240 --> 00:13:25,000 Speaker 3: think we would regret though, if in ten years we 213 00:13:25,000 --> 00:13:28,800 Speaker 3: weren't to develop the sorts of guardrails and benchmarks for 214 00:13:28,880 --> 00:13:34,280 Speaker 3: performance that would really potentially benefit not just adolescents and teens, 215 00:13:34,280 --> 00:13:38,400 Speaker 3: but people more generally. I think, in particular, as mentioned before, 216 00:13:39,120 --> 00:13:44,480 Speaker 3: if a company is specifically marketing their product as therapy 217 00:13:45,240 --> 00:13:48,640 Speaker 3: or treatment of some sort, then there should be even 218 00:13:48,720 --> 00:13:52,440 Speaker 3: clearer standards, more stringent standards that they're being held to 219 00:13:52,679 --> 00:13:58,400 Speaker 3: in those instances. But obviously, with platforms like open AI's 220 00:13:58,440 --> 00:14:03,080 Speaker 3: chat GPT, you have hundreds of millions of users and 221 00:14:03,559 --> 00:14:05,920 Speaker 3: it can be used from anything from learning how to 222 00:14:07,120 --> 00:14:11,040 Speaker 3: make a birthday cake to discussing intimate aspects of what's 223 00:14:11,080 --> 00:14:14,440 Speaker 3: going on in your life, and so it's really a 224 00:14:14,440 --> 00:14:17,400 Speaker 3: wide spectrum, which makes it much harder to regulate and 225 00:14:17,440 --> 00:14:18,040 Speaker 3: to pin down. 226 00:14:18,280 --> 00:14:21,320 Speaker 1: I'm given the rapid adoption of these kind of tools, 227 00:14:21,320 --> 00:14:23,560 Speaker 1: and this isn't the first time that we've brought this 228 00:14:23,640 --> 00:14:26,040 Speaker 1: up on the podcast as well, where the law is 229 00:14:26,160 --> 00:14:31,720 Speaker 1: really running behind the advancements of technology. How urgent is 230 00:14:31,960 --> 00:14:35,840 Speaker 1: the need for government or international regulation in the AI 231 00:14:35,960 --> 00:14:36,880 Speaker 1: space here. 232 00:14:37,000 --> 00:14:39,320 Speaker 3: I think it's incredibly urgent. I think the time is 233 00:14:39,360 --> 00:14:42,640 Speaker 3: now to act. I've been impressed, even over the past 234 00:14:42,680 --> 00:14:46,720 Speaker 3: couple of weeks the number of articles and personal testimonies 235 00:14:46,760 --> 00:14:51,240 Speaker 3: that have come out about the negative impacts related to 236 00:14:51,280 --> 00:14:55,200 Speaker 3: mental health that people have experienced with chatbots. And I've 237 00:14:55,480 --> 00:14:59,680 Speaker 3: seen as a result of that that platforms like Anthropic 238 00:15:00,040 --> 00:15:04,080 Speaker 3: Open AI have quickly responded to it. Open AI released 239 00:15:04,320 --> 00:15:07,400 Speaker 3: a statement in response to some of what's been going 240 00:15:07,400 --> 00:15:09,880 Speaker 3: on about new safety standards that they're going to be 241 00:15:09,880 --> 00:15:15,840 Speaker 3: introducing for mental health issues that are shared amongst their users. 242 00:15:17,160 --> 00:15:20,880 Speaker 3: We can see, for example, with social media that we 243 00:15:21,000 --> 00:15:24,960 Speaker 3: waited too long with teenagers, and now we're starting to 244 00:15:26,520 --> 00:15:29,400 Speaker 3: work our way backwards from that by, for example, banning 245 00:15:30,040 --> 00:15:33,800 Speaker 3: mobile phones from school environments to try to help kids 246 00:15:33,840 --> 00:15:38,000 Speaker 3: to be able to learn better and to avoid cyber 247 00:15:38,040 --> 00:15:39,480 Speaker 3: bullying and these sorts of things. 248 00:15:40,080 --> 00:15:43,880 Speaker 1: And lastly, looking ahead, what are some of the red 249 00:15:43,960 --> 00:15:47,680 Speaker 1: lines that regulators, educators, or parents should set when it 250 00:15:47,720 --> 00:15:51,120 Speaker 1: comes to young people's use of AI companions. 251 00:15:51,560 --> 00:15:54,200 Speaker 3: Well, I think it kind of goes two directions. On 252 00:15:54,280 --> 00:15:57,600 Speaker 3: the one hand, I don't think there should be an 253 00:15:57,640 --> 00:16:01,960 Speaker 3: outright ban on AI off bring mental health advice or 254 00:16:02,080 --> 00:16:06,200 Speaker 3: therapy in the future. I think there's remarkable potential that 255 00:16:06,760 --> 00:16:10,000 Speaker 3: I've tried to underscore and we don't want to leave 256 00:16:10,000 --> 00:16:13,720 Speaker 3: that on the table. In the United States, Illinois, just 257 00:16:13,760 --> 00:16:16,240 Speaker 3: a couple of weeks ago became the first state to 258 00:16:17,160 --> 00:16:23,080 Speaker 3: outright ban AI as a tool in therapeutic decision making. 259 00:16:23,960 --> 00:16:28,120 Speaker 3: I think that is too severe or maybe it was 260 00:16:28,240 --> 00:16:30,280 Speaker 3: right for the moment, but it won't be right in 261 00:16:30,320 --> 00:16:33,160 Speaker 3: five years, and that legislation would need to be amended. 262 00:16:33,800 --> 00:16:36,240 Speaker 3: On the other hand, I do think that we're most 263 00:16:36,320 --> 00:16:39,160 Speaker 3: at risk right now of doing too little. I think 264 00:16:39,200 --> 00:16:41,800 Speaker 3: people are very excited about AI. There's a lot of 265 00:16:41,920 --> 00:16:45,280 Speaker 3: money in it, and we need to think hard about 266 00:16:45,280 --> 00:16:51,160 Speaker 3: tamping the brakes to develop stronger safety benchmarks. I am 267 00:16:51,200 --> 00:16:58,120 Speaker 3: not clear that there is a conspicuous red line, other 268 00:16:58,200 --> 00:17:01,760 Speaker 3: than to say we are reaching a tipping point of 269 00:17:01,880 --> 00:17:06,120 Speaker 3: testimony and people sharing experiences that have been quite negative 270 00:17:06,160 --> 00:17:11,239 Speaker 3: and jarring, and hopefully that is sufficient in terms of 271 00:17:11,280 --> 00:17:17,080 Speaker 3: advocacy for regulators to begin stepping in and for these 272 00:17:17,160 --> 00:17:22,080 Speaker 3: tech companies to move beyond self regulation and establishing their 273 00:17:22,080 --> 00:17:25,840 Speaker 3: own benchmarks that might be too low, and instead requiring 274 00:17:25,960 --> 00:17:30,200 Speaker 3: independent bodies to come in to establish guidelines and standards 275 00:17:30,800 --> 00:17:34,480 Speaker 3: and to have auditing on a routine basis as part 276 00:17:34,560 --> 00:17:36,359 Speaker 3: of the company's practices. 277 00:17:36,840 --> 00:17:39,800 Speaker 2: Thanks for joining us, Ryan, Yeah, it was my pleasure. 278 00:17:43,280 --> 00:17:46,480 Speaker 1: That's it for this episode of the Front Page. You 279 00:17:46,520 --> 00:17:50,400 Speaker 1: can read more about today's stories and extensive news coverage 280 00:17:50,440 --> 00:17:54,520 Speaker 1: at enziherld dot co dot nz. The Front Page is 281 00:17:54,600 --> 00:17:58,000 Speaker 1: produced by Jane Ye and Richard Martin, who is also 282 00:17:58,200 --> 00:18:02,680 Speaker 1: our editor. I'm Chelsea Daniels. Subscribe to the front page 283 00:18:02,720 --> 00:18:06,359 Speaker 1: on iHeartRadio or wherever you get your podcasts, and tune 284 00:18:06,359 --> 00:18:09,400 Speaker 1: in tomorrow for another look behind the headlines.