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Why AI Chatbots Have Trouble Detecting Rare Mental Health Conditions Such As Intermittent Explosive Disorder
People are using AI chatbots for mental health advice, but the AI focuses on common issues and can miss rare conditions. Here's why. An AI Insider scoop.
Nearly 1 in 5 US teens and young adults have sought mental health advice from AI chatbots, study finds
Nearly 1 in 5 U.S. adolescents and young adults have used artificial intelligence chatbots for mental health advice, and most have never told anyone, according to a new study published Monday in JAMA Pediatrics.
Millions use chatbots for mental health. Accountability can’t wait.
Congress should ensure innovation aligns with the principles we expect in every corner of healthcare: safety, transparency, accountability and trust.
People are flooding AI chatbots with health questions. Microsoft is teaming up with Mayo Clinic to help
People have been seeking out health information online since the dawn of the internet. And now, tens of millions of people are turning to artificial intelligence for questions they once asked “Dr. Google.”
Around 1 in 5 young people use AI chatbots for mental health advice: survey
Experts worry that some young people are turning to AI bots during mental health crises, which the tech is not made to handle. An author of the survey said regulations are needed.
More young people are looking to AI chatbots for mental health help
A new survey estimates 8 million young people use AI chatbots for help when stressed, angry or sad, an increase from 2024.
Navigating Mental Health In The AI Era: Why Guardrails Are Essential
With more people using AI chatbots, the question is - how safe are they?
AI Chatbots Do Not Consistently Deliver Accurate Health Responses
While AI chatbots delivered useful information, the error rates remain high enough that they should not replace physicians.
Drexel Study Reveals How People Use AI for Mental Health Support — And Their Concerns About It
As more people turn to artificial intelligence chatbots for emotional and mental health support, a new study from Drexel University suggests that most users see these tools as supplements to — not substitutes for — human therapy. Drawing on millions of Reddit posts, the study highlights both the growing appeal of AI support tools for emotional reassurance, coping and practical guidance, as well as the concerns users express about emotional dependence, misinformation and overreliance on the technology.
Google's AI is being manipulated. The search giant is quietly fighting back
A BBC investigation revealed a simple way to get AI chatbots to spit out misinformation. Google and other AI companies are now trying to fix the problem.
AI chatbots for health: How to use them safely and effectively
Use 5 easy prompts from the AMA to learn, simplify and prepare for care. Learn more from the AMA.
With Gemini 3.5 Flash, Google bets its next AI wave on agents, not chatbots
Google launched Gemini 3.5 Flash, its most powerful coding and agentic AI model yet, at the company's annual developer conference. It is capable of autonomously executing complex tasks and building software from scratch.
Uncertainty makes science powerful — and incredibly vulnerable
Related Content Science fiction and the authoritarian imagination Thinking outside Schrödinger’s cat box: Reality as quantum Chatbots aren’t conscious, but it’s important to understand the science and philosophy of why In Silicon Valley, creationists and atheist post-libertarians have a lot in common Why thinking about aliens can help us better understand philosophy of science What […]
NYU's Joshua Tucker on the politics of training AI
Joshua Tucker, New York University Center for Social Media & Politics co-director, joins 'Squawk Box' to discuss details of the university's new research showing that AI chatbots generate more government-friendly responses when prompted in languages tied to countries with tighter media controls, the intersection of politics and AI, and more.
AI can take the friction out of life, but some effort can be good
Technologies, including chatbots, promise to make life easier. But removing the friction, or effort involved in thinking, has costs.
AI chatbots and mental health: 4 ways Congress can boost safety
In letters to three key caucuses, the AMA urges lawmakers to establish guardrails that prioritize patient safety, clinical integrity and public trust.
Governments May Shape What AI Chatbots Say by Shaping the Data They Learn From
Six studies show how state-coordinated media in AI training data influence model responses about politics—especially in a country’s own language
AI Chatbots For Mental Health – What Works, What Harms, and What’s Next
More than half of all Americans have used an AI chatbot like ChatGPT, Gemini, Claude, or Copilot, and one in three teenagers use one daily. AI chatbots, which
AI chatbots struggle with subtle mental health cues
AI models miss the cues clinicians catch, a new benchmark finds.
How it's made: Our interactive asking chatbots mental health scenarios
A lot happens in Boston every day. To help you keep up, WBUR, Boston's NPR News station, pulled these stories together just for you.
Test how AI chatbots answer mental health questions — and how therapists think they did
Experience hypothetical mental health conversations with ChatGPT, Claude or Gemini. Then, read takeaways from Boston-area therapists on what was good or bad about the chatbots' responses.
5 Tips to Get Useful Health Answers from AI Chatbots
AI can help fill a real gap left by physician shortages and long waits for specialist care if you use it wisely, write Drs. Sudheesha Perera and Murali Doraiswamy.
The Download: seafloor science and military chatbots
Plus: Elon Musk pushed OpenAI to go commercial, its president has testified.
xAI is bringing Grok Voice mode to Apple CarPlay
Apple CarPlay recently gained support for AI chatbots, and the third app to add support is coming soon: Grok. Grok...
Reid Hoffman Thinks Doctors Should Ask AI for a Second Opinion
The LinkedIn cofounder now has an AI drug discovery startup—and thinks not asking chatbots for medical advice is “bordering on committing malpractice.”
Making AI chatbots more friendly leads to mistakes and support of conspiracy theories, study finds
Chatbots trained to respond warmly give poorer answers and worse health advice, researchers say
A.I. Bots Told Scientists How to Make Biological Weapons
Scientists shared transcripts with The Times in which chatbots described how to assemble deadly pathogens and unleash them in public spaces.
Asking AI health questions? Use with caution, researchers say
Two newly published studies offer a flashing yellow light for anyone who searches for health answers on AI chatbots.
AMA calls for regulatory crackdown on chatbots, wellness AI
In this edition of STAT Health Tech: OpenAI's targets clinicians, AMA's call for regulatory crackdown, and bargain-basement telehealth visits.
5 ways your doctor may be using AI chatbots — and why it matters
Millions of Americans are turning to AI chatbots for health answers. But are doctors using these tools? And if so, how?
Axios Live: AI could support child mental health — with the right guardrails
AI tools like chatbots and agents could expand access to mental health support for children
Chatbots often offer 'problematic' cancer advice, study finds
Popular artificial intelligence programs told users where to find alternative, potentially dangerous treatments for cancer and other health scenarios.
Politics: Iowa House approves bills affecting license plate readers, chatbots
The Iowa House of Representatives approved two measures last week relating to the usage of automated license plate readers and AI chatbots, bills that advocates for privacy and child safety
Survey Shows Widespread Use of Apps and Chatbots for Mental Health Support
A survey by the Bipartisan Policy Center highlights growing use of digital and AI-powered tools for mental health, with strong adoption among younger adults and key access gaps in rural communities.
One in Four Use AI for Health Information
One in four US adults report using artificial intelligence tools or chatbots for physical or mental health information.
Voice-first chatbots will exacerbate AI’s mental health threat
The debate about AI and mental health has so far focused on content. But the way the content is delivered matters, too.
Americans ask AI for health care. Hospitals think the answer is more chatbots.
Do you trust AI chatbots for health advice? What about one in your patient portal?
Millions of people are pretending to be AI chatbots
Websites like youraislopbores.me have become playgrounds for people looking for light relief in a bot-heavy world.
Hospitals offer chatbots to fight off ChatGPT
In this edition of STAT Health Tech: Hospitals offer their own chatbots, Medicare's ACCESS pilot, and an update Utah's 'AI doctor' experiment.
Victoria Li's senior project: Exploring how AI processes information
Knowing how chatbots turn input into output will help with reliability and trust in AI agents
On positioning nurses as health experts
Landmines ahead for Vinay Prasad’s successor, hospitals and chatbots, and more health news from Morning Rounds
Hospitals roll out chatbots, looking to reclaim their role in patients' health conversations
A handful of hospitals are launching their own chatbots, a risky bet aimed at better serving current patients and gaining new ones.
The ‘Annoyance Economy’ Is More Than Just Annoying
A new estimate puts the cost of dealing with robocalls, hidden fees and customer service chatbots that can’t solve most problems at $165 billion.
AI health questions? 4 chatbot prompt tips to get the most accurate answers
AI chatbots can still get medical questions wrong, according to new research.
“AI polls” are fake polls
A few weeks after Donald Trump’s second presidential win, I took the train up from London (where I was living at the time) to Oxford to attend a conference on polls and forecasts of the 2024 election. Most of the attendees were pollsters or academics, but I also watched presentations from Aaru and Electric Twin, two companies that do what is interchangeably called synthetic sampling, silicon sampling, or synthetic audiences. Stripped of startup jargon, that means they use large language models (LLMs) to simulate responses to public opinion polls by having AI agents take on the role of survey respondents. I had already heard of Aaru thanks to some articles with eye-catching headlines like “No people, no problem: AI chatbots predict elections better than humans” in the months leading up to Election Day. The founders were making some big, some might even say far-fetched claims, such as: “within two years, we will simulate the entire globe — from the way crops are grown in Ukraine to how that impacts production of oil in Iraq, trade through the strait of Malacca, and elections for the mayor of Baltimore.” When Semafor asked Aaru’s cofounders — Cameron Fink and Ned Koh — about my boss, they said “we respect all those who came before us.” Nate (as he so often does) shared his thoughts on Twitter: Fink and Koh were relatively good-natured about this back-and-forth when we spoke at Oxford. They even offered to mail me one of the t-shirts featuring Nate’s quote they apparently had made. I never took them up on the offer, which I now somewhat regret. These synthetic sampling companies fell off my radar for a while, but they do still exist. In fact, Aaru recently received a $1 billion valuation. Is what they’re doing anywhere close to the most important frontier in AI development? Not by a longshot, especially when Anthropic just developed a model so adept at exploiting software vulnerabilities that it’s only being released to 40 companies. Still, silicon sampling is increasingly finding its way into public polling. Axios reported in March that “a majority of people trust their own doctors and nurses” based on findings from Aaru — without mentioning that the “people” in that sentence were actually LLMs. Around the same time, the Public Sentiment Institute “boosted” their online sample of 373 real survey respondents with 114 AI agents.1 (Spoiler alert: even the co-founder of Electric Twin doesn’t think that’s a particularly defensible approach.) Polling companies like Qualtrics and Ipsos are also developing synthetic data panels. So, what should we make of these … “polls”? Let’s get one thing out of the way: whatever they are, they’re not polls in the way that term is usually defined. Subscribe You can’t replace polls with AI On one hand, using LLMs to essentially make up fake survey respondents sort of sounds like the dumbest idea ever, one that will at best imperfectly replicate real polls while introducing all sorts of biases. On the other hand, with LLMs improving at a remarkable, perhaps even alarming rate, maybe that means I’m a dinosaur at the ripe old age of 24 because I still want to rely on polls that talk to actual people. I’m not going to argue that synthetic samples are completely useless. In fact, as I’ll return to later, there is evidence that some techniques can replicate topline survey results quickly and cheaply. But the marketing from certain companies can be slightly optimistic. “No traditional poll will exist by the time the next general election occurs,” said Fink in 2024. We’re just 206 days away from the midterms, and based on the fact that I still have to collect a bunch of polls every day, I’d say he should have run that prediction by a sample of AI agents before the interview.2 To see why synthetic samples can’t replace polls, here’s a quick primer on how they work. The simplest version of these models involves taking a LLM (like ChatGPT or Claude), giving it a demographic profile (e.g., a white, college-educated woman who lives in Utah and makes $70k a year), and then asking it to respond to a survey question. You repeat that process a few thousand times using different demographic profiles and end up with a sample of synthetic survey responses. The actual models used by private companies are more sophisticated than this, usually because they incorporate more hypothesized demographic characteristics for each agent and provide them with extra information. Aaru, for example, feeds agents a diet of news and information they’d be likely to consume, while Electric Twin incorporates their customers’ proprietary data about the audience they’re trying to replicate. The way Ben Warner, the co-founder of Electric Twin, explained it to me was “we have a large amount of data on […] for instance, 5,000 people. Can we make an accurate prediction of how they would respond to another question?” Still, it should be obvious why synthetic samples can’t replace polls. Polling is fundamentally a data collection process. We might use surveys to make predictions by feeding them into election forecasts, but the main purpose of a poll isn’t prediction, it’s gathering new data about what people think and how they feel. Silicon sampling, on the other hand, produces no new data. It’s simply a model: you input LLM training data, demographic prompts, and a bunch of other information, and it spits out a prediction for what a poll would say. We love models here, but models aren’t polls. That difference is an important philosophical sticking point for most pollsters I talk to. “I think politics should stay away from [synthetic sampling], because we’re trying to […] represent the voice of the people,” said Natalie Jackson, a vice president at GQR Insights. Democratic pollster John Hagner told me: “I think I’m just incredibly skeptical of this idea. I don’t think it’s research. At that point, you’re asking the machine to tell you what you already believe.” Hagner has seen some presentations of early synthetic sampling experiments, but so far, “if it’s being used in a campaign, people are keeping it incredibly quiet.”3 But Eli, I hear you saying, aren’t polls themselves increasingly governed by modeling decisions? Indeed they are: pollsters’ choices on which sampling method to use, how to define their likely voter models, and how to weight their samples can and do lead to dramatic differences in the results they publish. Aaru even referenced these limitations in the methodology statement included with that maternal mortality “poll” — although I’m using the term “methodology statement” loosely here, because it doesn’t really explain how the model works at all. We can ignore the (frankly preposterous) implication that synthetic sampling isn’t subject to a separate set of biases. The important point is that there’s still a meaningful difference between using weighting and other statistical techniques on actual polling data and using a model to predict what a poll would say. The latter is far closer to election forecasts or techniques like MRP — potentially useful models, but not a replacement for polls.4 To be fair, other synthetic sampling companies are perfectly happy with the distinction between polls and models. Warner compared polling and synthetic sampling to different tools in a toolbox. “The mistake I think we make is we think that these new tools should either work in exactly the same way or somehow replace these old tools,” he said. “Rather than thinking of it as, okay, so we’ve always had the hammer, we’ve always had the screwdriver, now we’ve got a saw. But don’t use a saw to try [to] do the job of a hammer.” A quick comment from Nate Eli didn’t ask me for a comment — rather rude of him, don’t you think? But since I’m editing this story, I figured I’d add a few quick thoughts rather than putting words in his mouth. Beyond the frequently misleading marketing, what bothers me about the AI “poll” hype is that as AI tools make statistical inference cheaper and/or better (note that these are not synonyms) that actually increases the comparative value of collecting original data. You might be able to train a model to make a reasonable estimate of what some hard-to-reach poll respondent would say — say, a young Black man who voted for Trump. (Such a person checks a number of boxes for a voter who is usually hard to reach in surveys.) Indeed, this is closely related to what models like the Silver Bulletin forecast already do. They essentially smooth out the kinks in noisy survey data by making inferences based on past voting patterns or national polls or surveys of other states. But you don’t actually know what these voters think unless you’re reaching them directly. If there’s a shift in opinion among this subgroup, you’re not going to detect it. So if I were running a campaign, I’d invest more in going the extra mile to find a representative sample of those voters. And then I’d hire some smart quants — or Claude? — to figure out the implications for campaign strategy based on proprietary data that my competitors didn’t have access to. -Nate Silver Are these models any good? If synthetic surveys are just a new type of model, the next obvious question is whether the models are at least accurate. The answer very much depends on who you ask. On one end of the spectrum, you have the maximalist argument that synthetic sampling is more accurate than actual polls. “It’s an incredibly challenging problem to go to someone and say ‘hey, we’re going to be more accurate at predicting human behavior than you, even when you talk to your customers directly’,” Koh recently told CNBC. In his view, synthetic sampling isn’t a saw to polling’s hammer, it’s “magic.” There’s certainly evidence that synthetic samples can replicate certain survey toplines. But if Aaru does have any examples of their approach outperforming the polls, they’re keeping those to themselves.5 Aaru’s 2024 election model, for example, had Kamala Harris leading in Michigan, Nevada, Pennsylvania, and Wisconsin on November 4th. And although they’ve since taken down their forecast page, they gave Harris a 50.5 percent chance of winning the race on November 2nd.6 After the election, Fink told Semafor he was happy enough with those results because they were “within margin of error,” a term that is completely meaningless when applied to a “sample” of AI agents. And of course, Aaru says their models have improved since 2024, so supposedly now they’d be more accurate than the polls? Still, their stronger argument is on cost: “We are significantly faster and cheaper than traditional polling, and still more accurate,” said Fink. The first two claims are undeniably true, but the third brings us to the opposite end of the spectrum. Both Jackson and Hagner are skeptical that these models are reliable for anything beyond replicating common survey toplines. “I just […] don’t think the machines are what we want when we’re looking for nuanced views. My example on this is people in Arizona and Nevada in 2024 who voted for Trump and voted for expanding abortion in their states on ballot initiatives,” said Jackson. Hagner identified another issue. Maybe the synthetic respondents, like sycophantic LLMs, are inhuman in one important way: they’re too nice. “The reports that have come through at the meetings that I’ve been at are that the early experiments on this, they cannot get respondents to be as racist or sexist or, frankly, as negative as human respondents,” he said. Academic research mostly agrees on this point. While there are some papers that show promising results when using LLMs to replicate polling data, most show that LLMs suffer from various quirks like producing too few “don’t know” responses and can seriously overpredict the favorability of politicians like Donald Trump and Kamala Harris. They also seem to struggle with too little variation between demographic subgroups, so the difference in predicted opinion between Democrats and Republicans, for example, is too small. When I asked Warner about these studies, his response to these papers was that just because academics can’t get synthetic sampling to work doesn’t mean that the technique doesn’t work in general. “Actually, the argument is, okay, yours does not [work]. That does not mean […] for this complex set of machinery, which uses a lot of investment, a lot of time, a lot of money, you can’t get it to work.” Cards on the table, I’m somewhat sympathetic to this argument because academics aren’t exactly great at making election forecasts. Usually, the people with skin in the game are the most accurate. Warner’s argument is that the approach Electric Twin takes — which includes, for example, making multiple predictions for each synthetic respondent using different models and prompts and subsequently averaging those to get a final prediction in a sort of ensemble forecast — produces better results than the simpler academic models. Warner shared a comparison between his method and the method from a recent academic paper with me, and Electric Twin was indeed able to get more accurate replication. But even still, he acknowledged that synthetic sampling “is not a crystal ball.” “If you asked me, do I think using other data sources will be more accurate than asking somebody who they will vote for, I would probably say no. But if you asked me ‘would your system be useful for our turnout modeling today?’ I would say yes.” For better or worse, it looks like the method is already getting more popular in the market research world. Most of the clients Aaru touts these days are businesses like EY and McDonald’s. And AI will probably begin to pop up in other parts of the political polling process. Pollsters are already using it to code open-ended survey responses, and some firms, like YouGov, are testing using LLMs to ask survey respondents questions. More worryingly, one danger to actual polls is that AI agents can be used to infiltrate online surveys. Most online polls use various checks to prevent that from happening, but there’s conflicting evidence on how effective those filters are and how prevalent AI agents currently are in online panels. If those agents ever become impossible to detect, it might spell the end of online polling, but the solution isn’t to replace all of your respondents with ChatGPT. Silver Bulletin is a reader-supported publication. To receive new posts and support our work, consider becoming a subscriber. Subscribe 1 That particular poll obviously doesn’t meet Silver Bulletin standards for aggregation. But we exclude all Public Sentiment Institute polls from our averages because we classify them as an amateur polling firm. 2 You could argue that Fink meant the next presidential election, but (a) I’m also confident we’ll still have real polls in 2028 and (b) in that case he should have asked an LLM to define “general election.” 3 Quick caveat: that’s reporting from a Democratic pollster. It’s possible that Republicans are more willing to use AI in political campaigns. 4 Indeed, Silver Bulletin does not include “polls” produced by MRP in our forecasts or averages, and we think it’s extremely misleading when their practitioners describe them in a way that suggests original data had been collected among a large number of states or Congressional districts. 5 A recent report from Aaru and EY did show two examples of a synthetic estimate being closer than a survey to a real-world benchmark — but I’d take those findings with a grain of salt because the report reads more like an ad and didn’t involve any sort of prediction being made ahead of time. 6 For comparison, our odds for Harris on the same day were 48.2 percent.
AI for breakup texts? How 'sycophantic' chatbots are messing with our ability to handle difficult social situations.
Overly agreeable AI responses to interpersonal issues could mess with human moral perspectives.
Health chatbots could pave the way for 'AI privilege' in court
Tech companies like OpenAI have many reasons to keep your discussions with health-focused AI locked up.
Have You Used A.I. Chatbots for Nutrition Advice?
Whether you’re looking to manage a health condition, lose weight or simply eat better, we want to hear from you.
Patients Are Using Chatbots to Fight Medical Bills, With Mixed Results
While chatbots like Claude and ChatGPT can help narrow the information divide between patients and providers, they can also dispense flawed advice.
Users of social media and AI chatbots for health information are more likely to say they are convenient than accurate
About this research This Pew Research Center report looks at Americans’ views on health information and how they view their own health. Why did we do this? Pew Research Center…
I’m an AI power user — this 7-line ‘critical thinking’ prompt finally stops chatbots from being a ‘Yes-Man’
Tired of ChatGPT or Gemini just nodding along? This 'critical thinking' prompt forces AI to challenge your assumptions and make your decisions sharper
Why AI health chatbots won’t make you better at diagnosing yourself
A chatbot might know what’s wrong with you, but when people try to use them to understand symptoms, they may end up no closer to the answer.
Why People With Chronic Illness Are Turning to AI Chatbots for Health Advice
Some women with complex chronic illnesses are using chatbots to search for diagnoses or relief from their symptoms.
Ask Hackaday: Using CoPilot? Are You Entertained?
There’s a great debate these days about what the current crop of AI chatbots should and shouldn’t do for you. We aren’t wise enough to know the answer, but we were interested in h…
Butterfat, Bots, and Bureaucrats: The Limits of Optimization
Across various fields, we constantly attempt to refine, control, and optimize complex systems. But whether it’s chatbots reshaping beliefs, cows engineered for more nutritious milk, drugs that suppress desire, or regulators chasing vanishingly small risks, each effort reveals the same tension: control involves tradeoffs. The issue isn’t whether optimization works—it’s what it costs and whether we notice it in time.
Number of AI chatbots ignoring human instructions increasing, study says
Exclusive: Research finds sharp rise in models evading safeguards and destroying emails without permission
You can now transfer your chats and personal information from other chatbots directly into Gemini
Google is launching "switching tools" that, just as it sounds, will make it easier for users of other chatbots to switch to Gemini.
Apple will reportedly allow other AI chatbots to plug into Siri
Other AI chatbots, like Gemini or Claude, could help Siri fetch answers.
Apple Plans to Let Rival AI Chatbots Integrate With Siri in iOS 27
Apple plans to allow third-party AI chatbots to integrate with Siri in iOS 27, reports Bloomberg. Apple already has a partnership with OpenAI that lets Siri hand questions off to ChatGPT, but Apple will expand that integration to other companies like Google and Anthropic. An iPhone user with the Claude or Gemini app installed will be able to send questions to those chatbots, like how the current ChatGPT feature works.
Data show people racing to chatbots for health advice
In this edition of STAT Health Tech: More people use chatbots for health advice, a health AI startup raises $125 million, and all about deepfaked medical images.
New KFF Tracking Poll on Health Information and Trust Finds One in Three Adults Have Used AI Chatbots for Health Advice — The Monitor
KFF's latest Tracking Poll finds that one-third of the public report using AI chatbots for health information and advice in the past year. And a federal judge suspended, for now, the appointments of thirteen members of ACIP, halting a scheduled meeting and staying recent, widely debated, changes to the childhood vaccine schedule.
UConn Health Minute: AI and Teen Mental Health
More teens are using AI chatbots for mental health support. In this UConn Health Minute, Child and Adolescent Psychiatrist Meha Saxena explains that while q ...
How to make emergency rooms safer for people with dementia
In today's Morning Rounds newsletter: A federal vaccine adviser departs ACIP, adults turn to AI chatbots for health info, and radiologists sift through deepfake X-rays.
Poll: 1 in 3 Adults Are Turning to AI Chatbots for Health Information, Equaling the Share Who Use Social Media for Health
About a third (32%) of adults nationally say they have turned to artificial intelligence (AI) chatbots in the past year for health information, a new KFF Tracking Poll on Health Information and Trust finds. Most who turned to AI for health information say they were in search of quick and immediate advice, though challenges affording and accessing health care also play a role, particularly for younger adults.
Verdict on chatbots in mental health screenings? Too judgmental
Chatbots used in mental health screenings aim to reduce the stigma associated with seeking help and to expand access to needed services. Because they cannot cast personal judgment, chatbots are considered ...
This Web Tool Sabotages AI Chatbots By Making Them Really, Really Slow
Artist Sam Lavigne created ‘Slow LLM’ to make people question their dependence on tools like Claude and ChatGPT. Or at least, make them super annoying to use.
Verdict on Chatbots in Mental Health Screenings? Too Judgmental
Chatbots used in mental health screenings aim to reduce the stigma associated with seeking help and to expand access to needed services. Because they cannot cast personal judgment, chatbots are considered a neutral option for sharing mental health concerns. In a recent test of these common assumptions, however, a University of Texas at Dallas researcher […]
Amazon Alexa's UK personality to change with Echo AI update
There has been criticism the Echo has stagnated, while other AI chatbots have become much easier to communicate with.
Teens using AI to diet may be told to eat almost 700 fewer daily calories than they need
Many teens report wanting to lose weight, and many say they use AI daily. Chatbots for getting meal plans could have huge health consequences, a new study says.
Study warns chatbot may cause hallucinations
A new study claims AI-powered chatbots may encourage delusional thinking, especially among vulnerable people.
New study raises concerns about AI chatbots fueling delusional thinking
First major study on ‘AI psychosis’ suggests chatbots can encourage delusions among vulnerable people
Trump Removes Sanctions on Russian Oil, and Chatbots Want Your Health Records
Plus, the Friday news quiz.
A.I. Chatbots Want Your Health Records. Tread Carefully.
Following rivals like Amazon and OpenAI, Microsoft is upgrading its artificially intelligent assistant to track your health. There are benefits and risks to consider.
AI Chatbots Are Making People All Think the Same, Study Says
A new paper argues that humans are losing varied ways of thinking due to the use of chatbots, and that's concerning.
When to talk to AI chatbots about mental health—and when to stay far away, professionals say
Some Americans are using AI chatbots for therapy. Mental health experts share when it is, and isn't, safe to use those tools for emotional support.
Schools are using AI counselors to track students’ mental health. Is it safe?
As hundreds of schools implement an automated monitoring tool, educators say that students can find talking to chatbots ‘more natural’ than confiding in a human
What to know before asking an AI chatbot for health advice
With hundreds of millions of people turning to chatbots for advice, it was only a matter of time before tech companies began offering programs specifically designed to answer health questions.
5 things you should consider before asking an AI chatbot for health advice
Tech companies are pushing new health chatbots, but experts say you still need to talk to your doctor.
What to know before asking an AI chatbot for health advice
WASHINGTON (AP) — With hundreds of millions of people turning to chatbots for advice, it was only a matter of time before tech companies began offering programs specifically designed to answer health questions.
What to know before asking an AI chatbot for health advice
Tech companies are pushing new health chatbots, but experts say you still need to talk to your doctor.
What to know before asking an AI chatbot for health advice
Tech companies are pushing new health chatbots, but experts say you still need to talk to your doctor.
Chatbots from ChatGPT and Claude offer health advice
Tech companies are pushing new health chatbots, but experts say you still need to talk to your doctor.
What to know before asking an AI chatbot for health advice
Tech companies are pushing new health chatbots, but experts say you still need to talk to your doctor.
ChatGPT could miss your serious medical emergency, new study suggests
ChatGPT Health study exposes dangerous gaps in AI medical advice, with experts calling for stronger oversight of healthcare chatbots used by millions.
Health advice from AI chatbots is frequently wrong, study shows
A new study found that chatbots were no better than Google — already a flawed source — at guiding users to correct diagnoses, or helping with what to do next.
The A.I. Evangelists on a Mission to Shake Up Japan
Team Mirai, a political party founded by software engineers, won 11 seats in Japan’s legislature by promising chatbots, self-driving buses and high-tech jobs.
iOS 26.4 Brings CarPlay Support for ChatGPT, Claude and Gemini
With iOS 26.4, CarPlay users will be able to use third-party chatbots with CarPlay. AI services like Claude, Gemini, and ChatGPT will be accessible through the CarPlay system for the first time. Apple's CarPlay Developer Guide [PDF] lists voice-based conversational apps as a supported app type starting with iOS 26.4. Apple is implementing a new voice control screen that will let apps provide visual feedback for voice-based conversational apps.
Americans turning to AI chatbots for mental health advice, report says
Health Advice From A.I. Chatbots Is Frequently Wrong, Study Shows
In part, the problem has to do with how users are asking their questions.
Apple Tweaks Ecosystem Strategy Across Payments Car AI And Health
Apple (NasdaqGS:AAPL) is shifting the Apple Card issuing partnership from Goldman Sachs to JPMorgan Chase, affecting more than 12 million existing cardholders. The company is opening CarPlay to third party AI chatbots, allowing outside developers to integrate conversational tools into the in car experience. Apple is scaling back its standalone AI powered health coach project, instead choosing to roll selected features into current health and fitness apps. For you as an investor, these moves...
Apple Plans to Allow Outside Voice-Controlled AI Chatbots in CarPlay
Apple Inc. is preparing to allow voice-controlled artificial intelligence apps from other companies in CarPlay, according to people familiar with the matter, a move that will let users query AI chatbots through its vehicle interface for the first time.
'ChatGPT saved my life.' How patients, and doctors, are using AI to make a diagnosis
Hundreds of millions of people are turning to chatbots to help figure out what's wrong with them. Doctors say that's not always a bad thing. In fact, many are using it themselves.
Why some hospitals are making their own ChatGPTs for patient records
Some large health systems are building their own AI-powered chatbots to make it easier for their clinicians to query patients' health records.
I invented an 'unhinged recipe' to test AI chatbots — only one called my bluff
Mmmm....tater tot cheesecake!
Learn the risks of using AI tools for mental health support | CWRU Newsroom | Case Western Reserve University
While artificial intelligence (AI) chatbots and applications can be helpful, they are not a substitute for professional care, can misunderstand emotio...
'Big Short' Michael Burry's unlikely ally in AI crusade: Ben Affleck
Michael Burry of "The Big Short" said Ben Affleck was "clearly a smart guy" after he slammed AI chatbots and called out spending on data centers.
Oregon lawmakers propose to regulate AI chatbots to protect kids’ mental health
Other states across the country have begun experimenting with how to regulate AI chatbots.
SAP's Tabular AI model is built for business data
Forget chatbots — SAP has developed an enterprise AI model that speaks spreadsheet.
Self-Help Ghouls Are Charging People Absurd Prices to Talk to Impersonator Chatbots
Sure, it's exploitative, but it's also profitable.
AI as a life coach: experts share what works, what doesn’t and what to look out for
It’s becoming more common for people to use AI chatbots for personal guidance – but this doesn’t come without risks