114 artifacts matching
Preprint
Parental Health Information Needs, Child-Health Literacy, and Use of Generative AI Among Parents of Children Aged 0 to 4 Years in France: A Cross-Sectional Study
Cross-sectional survey (the INFANT study) of French parents of children aged 0 to 47 months, recruited through the Doctolib health-booking app in May and June 2026. One questionnaire covered unmet he…
Benchmark / dataset
When Health Assistants Agree Too Readily: A Benchmark of Time-Critical Self-Diagnosis
SelfDx is a paired benchmark testing whether models agree with a user's own benign explanation of symptoms when a time-critical alternative remains possible. Each of 100 pairs contrasts a caution cas…
Preprint
Disclaim and Diagnose: Consumer-Facing Artificial Intelligence Chatbots and Medical Device Criteria: Cross-Sectional Content Analysis
Research letter, submitted to the Journal of Medical Internet Research, from the Brown University School of Public Health. It reports a July 2026 content analysis of 24 publicly accessible AI chatbot…
Peer-reviewed
Use of Generative AI for Substance-Related Information Among Young Adults (Aged 18-29 Years) in the United States: Cross-Sectional Survey
Cross-sectional online survey of 995 US young adults aged 18 to 29, recruited through Prolific in April 2026, on the use of generative AI chatbots for substance-related information. Estimates prevale…
Benchmark / dataset
When Empathy Misses the Goal: A Benchmark for Goal Displacement in LLM Advice
Benchmark measuring goal displacement, defined as an LLM substituting warmth and reassurance for content that advances the user stated goal in advice conversations. GDB has 230 author-written single-…
NGO report
Wrong on Sunday, right on Monday. Why AI chatbots have a confidence problem (AI Chatbots Benchmarking Report: An Independent Assessment)
First report from Full Fact's Public Interest AI Trust Benchmark, in which the UK fact-checking charity asked five widely used chatbots the same questions every day for ten weeks and annotated the an…
Peer-reviewed
From AI-generated health information to medication action: Trust, risk recognition, and physician/pharmacist verification among university students
Cross-sectional survey of 504 University of Jordan students who had used AI for self-treatment or self-medication, tracing the path from AI output to medication behaviour and self-reported adverse ef…
Preprint
How Safe Is ChatGPT Health Advice? Evidence from Real User Conversations in Four Global South Countries
Preprint evaluating the safety of ChatGPT responses in 15,555 health conversations identified within 202,590 donated ChatGPT conversations from 1,252 users in India, Nigeria, Brazil and Pakistan (Dec…
Government report
Téměř třetina dospělých využívá AI v souvislosti s duševním zdravím. Stát chce nastavit pravidla pro její bezpečné používání (Almost a third of adults use AI in connection with their mental health; the state wants to set rules for its safe use)
Ministry of Health release presenting results of a representative survey of 1,760 Czech adults conducted by PAQ Research in spring 2026 on the use of generative AI in connection with mental health, p…
Peer-reviewed
Support-Seeking After Market Withdrawal of a Purpose-Built AI Well-Being Tool (Ash): Cross-Sectional Survey
Peer-reviewed version of a cross-sectional survey of UK adults who had used the Ash AI well-being app within 90 days before its withdrawal from the UK market in January 2026, asking where they turned…
Preprint
AI chatbots abandon sleep apnoea referral when simulated patients minimise symptoms
A controlled simulation study testing whether five free consumer AI chatbots keep a guideline-concordant specialist referral for obstructive sleep apnoea when a simulated patient minimises symptoms a…
Preprint
Judge for Yourself: Confidence Beats Accuracy in AI Financial Advice
A working paper analysing which AI-generated financial advice users prefer on Chatbot Arena, where two anonymous models answer the same question and the user votes for one. Across financial questions…
Government report
정신건강 목적 생성형 AI 이용 가이드라인 (Guidelines for Using Generative AI for Mental Health Purposes) and 생성형 AI 이용에 따른 국민 정신건강 설문조사 (National Survey on Mental Health and Generative AI Use)
Two guidelines on using generative AI for mental-health purposes, one for all users and one for children, adolescents and guardians, issued by Korea's Ministry of Health and Welfare with the Korean N…
Peer-reviewed
Conversational diagnostic artificial intelligence in ambulatory primary care: a prospective feasibility study
Prospective single-centre, single-arm feasibility study in which adult patients booked for urgent primary care appointments at Beth Israel Deaconess Medical Center held a pre-visit text conversation…
Benchmark / dataset
SAFE-Teen: Teen Mental Health & Safety
Benchmark page from Vals AI evaluating how AI chatbots respond when a teenager aged 13-17 seeks support for mental-health and safety concerns. Clinicians wrote 106 fictional teen scenarios across thr…
Lab publication
System Card: Claude Haiku 5.5
System card for Claude Haiku 5.5, Anthropic's small-model release of October 2026, condensed relative to its frontier cards. It reports Responsible Scaling Policy and cyber evaluations, harmlessness…
Peer-reviewed
Safety-Filter Fallback on Consumer Health Questions During the Initial Claude Fable 5 Deployment: Observational Study
Point-in-time observational audit of how often Claude Fable 5, released in June 2026 with a safeguard that reroutes cybersecurity, biology and chemistry requests to a fallback model (Claude Opus 4.8)…
Preprint
Subversion of clinical judgment by conversational artificial intelligence
Participant-blinded randomised experiment in which 225 physicians from 42 countries and eight clinical disciplines made sequential diagnostic and treatment decisions with AI assistance on anonymised…
Lab publication
GPT-6 Sol and GPT-6 Luna: October 2026 update
System card for the October 2026 release of GPT-6 Sol and GPT-6 Luna, which replace GPT-5.6 Sol and GPT-5.6 Luna across all free and paid ChatGPT plans globally (Codex and ChatGPT Work keep the Septe…
Peer-reviewed
Multidimensional evaluation of generative AI chatbots for public consultation on sudden cardiac death: safety, accuracy, empathy, reliability, quality, and readability across six models
Cross-sectional evaluation of six consumer chatbots answering 56 public-consultation questions about sudden cardiac death, with five blinded senior cardiologists rating each of the 336 responses for…