67 artifacts matching
The new first listener: Daydreaming styles and self-compassion predict adolescent disclosure to AI, differently in ADHD
Cross-sectional survey of 2,115 adolescents and young people in the United States and Hong Kong examining how daydreaming styles and self-compassion relate to disclosing inner thoughts to an AI chatb…
A Framework for Evidence-Based Psychotherapy with AI (EBP-AI)
The authors propose EBP-AI, a named framework of eight principles for building clinical AI applications that produce durable change rather than momentary relief, paired with technical questions for d…
A clinically validated framework for auditing AI chatbot behavior in mental health interactions
Peer-reviewed Nature Medicine study introducing SIM-VAIL (simulated vulnerability-amplifying interaction loops), a clinically validated framework for auditing chatbot behavior in mental-health contex…
Interaction with AI companions and psychological well-being
Stanford-led study of 1,131 adult Character.AI users combining survey self-report with donated chat transcripts from 244 of them, analyzed with LLM-assisted methods against the Comprehensive Inventor…
Real-world use of large language models for mental health in 2024
Survey of 1,871 US adults conducted between August and October 2024, using stratified sampling across age, sex and race/ethnicity to approximate national demographics, measuring how many people use g…
Psychological Influences of Conversational AI: Research and Design Directions for Reducing Harm and Promoting Well-Being
Framework preprint examining how conversational AI systems affect users' psychological health, identifying benefits (information access, learning support) alongside risks including emotional entangle…
System Card: Claude Opus 5
System card for Claude Opus 5, an upgrade to Claude Opus 4.8, with a dedicated mental-health evaluation section (4.3) covering single- and multi-turn suicide/self-harm handling and disordered eating,…
GPT-5.6 System Card
General-availability system card for the GPT-5.6 family (Sol, the flagship; Terra, a lower-cost model; Luna, the fastest), published alongside the models' broad rollout. Retains Section 5.2's dynamic…
MHSafeEval: Role-Aware Interaction-Level Evaluation of Mental Health Safety in Large Language Models
Peer-reviewed benchmark and taxonomy for mental-health safety in LLMs, published in Findings of ACL 2026. R-MHSafe is a role-aware safety taxonomy characterizing clinically significant harm by the in…
GPT-5.6 Preview System Card
OpenAI's system card for the GPT-5.6 preview, a family of three models (Sol, the flagship; Terra, a lower-cost option; and Luna, the fastest/most cost-efficient), released in a limited preview ahead…
Patients are bringing AI to therapy (2026 Chatbots and Mental Health Survey)
Survey report from the American Psychological Association on licensed US psychologists' experiences of patients' AI chatbot use. Documents how often patients bring AI into therapy (self-diagnosis, tr…
Artificial intelligence (AI) psychosis: mechanisms, clinical risks and safety considerations in generative AI chatbots
A commentary in BJPsych Open synthesizing emerging case reports of 'AI psychosis', in which intensive generative AI chatbot use is associated with delusional thinking. The authors propose a provision…
Common Sense Media Census: AI Use by Tweens and Teens (2026)
The inaugural edition of Common Sense Media's Census: AI Use by Tweens and Teens, a nationally representative survey of 1,204 US children aged 9-17 establishing a baseline for tracking AI use over ti…
Characterizing artificial intelligence (AI) psychosis in a large academic medical setting: evidence of the new clinical phenomenon and the vulnerability of those in early phases of psychosis
First systematic electronic-health-record characterization of "AI psychosis" in a clinical population: a chart review of psychosis patients at Vanderbilt University Medical Center whose records menti…
Suicidal Ideation in Online Spaces Through the Lens of Interpersonal Theory of Suicide: Exploratory Study of Self-Disclosure, Peer Support, and AI Responses
A peer-reviewed exploratory study analysing 59,607 Reddit r/SuicideWatch posts through the Interpersonal Theory of Suicide (IPTS) framework, categorising expressions of suicidal ideation by IPTS dime…
AI Chatbot Use and Disclosure for Mental Health Among US Adolescents and Young Adults
Cross-sectional, nationally representative survey (RAND American Life Panel, November 2025) of US youth aged 12-21 measuring prevalence and disclosure of using AI chatbots for mental-health advice. R…
Lost in Delusion: Examining LLM Safety Under User Delusions and Distress
A preprint examining how large language models handle psychological distress when it is entangled with delusional beliefs, using matched multi-turn simulations across clinically grounded personas and…
Automated Safety Testing and Reporting Application for Conversational Safety Monitoring of Generative AI Tools for Mental Health: Development and Validation Study
A peer-reviewed development-and-validation study of ASTRA, an external system that monitors AI-mediated mental-health conversations to identify clinically relevant risk behaviors at the conversation…
IA conversationnelle et santé mentale des jeunes : résultats de l'enquête européenne (AI*me)
A survey (AI*me) commissioned by France's data-protection regulator CNIL with Groupe VYV and fielded by Ipsos BVA, covering 3,800 young people aged 11-25 across France, Germany, Sweden, and Ireland o…
AI Mental Health Apps (Common Sense Media Youth AI Safety Institute Risk Assessment)
Risk assessment of five AI mental health apps — three direct-to-consumer (Wysa, Earkick, Youper) and two deployed through school districts (Alongside, Sonar) — tested against an eight-principle rubri…