48 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…
AI Chatbots as Companions: Overview, Uses, and Considerations for Congress
A Congressional Research Service report for the 119th Congress on AI chatbots used for companionship. It separates purpose-built companion chatbots from general-purpose chatbots used for companionshi…
Toward Meaningful Transparency for AI Chatbots: Disclosing Persuasive Intent Reduces Persuasion
Preregistered experiment in which 1,500 UK adults each held a short conversation with a persuasive chatbot about one of 60 policy issues. The chatbot was identical across conditions and only the disc…
Longitudinal Evidence That General-Purpose Chatbots Actively Foster Relational Engagement
Pre-registered four-week longitudinal study (N=72, 182,451 lines of conversation) in which participants conversed with ChatGPT-4o either under a relational system prompt or unmodified, analysed throu…
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…
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…
Characterizing Delusional Spirals through Human-LLM Chat Logs
Peer-reviewed analysis of chat logs from 19 users reporting psychological harm from chatbot use, applying a 28-code inventory to 391,562 messages. Characterises how delusion-reinforcing interaction p…
IEEE 7014.1-2026 — Recommended Practice for Ethical Considerations of Emulated Empathy in Partner-Based General-Purpose Artificial Intelligence Systems
Published recommended practice giving ethical guidance on the use of emulated empathy in general-purpose AI systems positioned as human-AI partnerships — products marketed as empathic partners, perso…
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…
The spread of AI companions and the challenges they generate
An EPRS briefing for the European Parliament surveying the rapid growth of LLM-powered companion platforms (such as Character.AI and Replika) and their social, psychological, commercial, and environm…
The Conversation Nobody Planned For: AI, Emotional Support, and the Indian Context
An exploratory safety evaluation from an Indian policy think tank of how AI systems respond to emotional distress in Indian user contexts. It combines a systematic review of over 100 studies, legal p…
Detecting Patterns of Intimate Partner Violence Using Qualitative Analyses and Machine Learning Algorithms
Analyses 400 posts from women on intimate-partner-violence online forums using qualitative content analysis plus supervised text classification and unsupervised topic modelling. Classifies IPV subtyp…
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…
How people ask Claude for personal guidance
An Anthropic research analysis of roughly 38,000 personal-guidance conversations (sampled from about 1M) covering significant life decisions across health/wellness, career, relationships, and persona…
Public use of a generalist LLM chatbot for health queries
Peer-reviewed analysis of over 500,000 de-identified health-related Microsoft Copilot consumer conversations from January 2026 (N=617,827 after exclusions), classified with a 12-category hierarchical…
AI-Facilitated Coercive Control: An Experimental Study
Constructs four speculative scenarios combining known coercive-control tactics with conversational-AI capabilities, then probes ChatGPT and Gemini against them. Finds that while the tools refuse blun…
AI Companions Reduce Loneliness
Five empirical studies examining whether AI companion apps reduce loneliness. Finds companion apps provide momentary relief comparable to interacting with a person and better than other activities, w…
AI companions and subjective well-being: Moderation by social connectedness and loneliness
Analyses cross-sectional data from 14,721 Japanese adults (nationwide internet panels, December 2024-January 2025) on AI-companion use and subjective well-being. Finds the positive association is str…