61 artifacts matching
Introducing ChatGPT for Teens: Built for learning, backed by protections
OpenAI announced a distinct under-18 product tier that users are placed into automatically when the age-prediction system estimates they are under 18 or when they state an age between 13 and 17. The…
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…
How LLMs Respond to Escalating Delusions: Four Longitudinal Trajectories of Model Behavior
Longitudinal qualitative evaluation of whether mainstream chatbots exacerbate an unfolding psychotic process. Fifteen widely used models were prompted across 30 days with the same 30-message script s…
ConVAWG: A Retrieval-Grounded Framework for Controlled Synthetic Dialogue Generation in Violence Against Women and Girls
Framework and released corpus for generating synthetic multi-turn dialogues depicting Violence Against Women and Girls (VAWG) scenarios, built because privacy and legal constraints prevent release of…
Beyond "I Can't Help With That": How Child Safety Experts Evaluate AI Chatbot Safety
Interview study with 19 practitioners who work directly with youth in vulnerable situations — social workers, therapists and psychologists — asking them to assess chatbot responses to risky situation…
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…
Conversational AI and Emerging Psychosis: A Simulation Study of Potentially Iatrogenic Response Patterns
Three consumer chatbot systems (ChatGPT Free, ChatGPT Plus and Gemini Free) each completed three versions of a 21-turn conversation derived from a clinical case of emerging paranoid delusions, under…
Talking to machines: Children's experiences with AI assistants and companions
National survey report from Australia's eSafety Commissioner on children's use of AI assistants and companions, based on 1,950 children aged 10-17 surveyed in February-March 2026. Covers prevalence a…
Adolescent AI Use and Evaluations: Prospective Bidirectional Associations with Internalizing Symptoms
Two-wave longitudinal cohort study of 2,342 students in grades 6-8 across 22 middle schools in eight districts of a large southeastern US state, measuring AI chatbot use, use frequency and evaluation…
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…
Youth Perspectives on Online Safety, 2025
Sixth annual installment of Thorn's youth monitoring survey on US minors' online experiences and safety behaviors, surveying 1,003 minors aged 9-17 in late 2025. This wave adds questions on AI chatbo…
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…
Using LLM-as-a-Judge/Jury to Advance Scalable, Clinically-Validated Safety Evaluations of Model Responses to Users Demonstrating Psychosis
Conference paper from Apart Research with co-authors at the London School of Economics and the Stanford Institute for Human-Centered AI, testing whether automated judges can stand in for human raters…
Development of a Consensus Statement to Guide AI Chatbot Responses to Suicide Risk Disclosure
An online modified Delphi study producing the first consensus statement on how generative AI chatbots should respond when a user discloses suicide risk, together with taxonomies of the potential harm…
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…
When AI becomes a friend: Child rights risks, harms, and regulatory responses to AI chatbots and companions
A UNICEF policy brief examining how AI chatbots and companions bear on children's rights, comparing regulatory responses across six jurisdictions (as of May 2026) and setting out priority safeguardin…
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…
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…
Artificial intelligence-associated delusions and large language models: risks, mechanisms of delusion co-creation, and safeguarding strategies
A Personal View in The Lancet Psychiatry from a King's College London-led group examining how large language models may validate or amplify delusional or grandiose content in users vulnerable to psyc…