105 artifacts matching
Preprint
Scalable Oversight for AI in Mental Health: Lessons from 350,000 AI Coaching Conversations between Therapy Sessions
Deployment report from Grow Therapy, a US behavioural-health company whose network of more than 25,000 licensed clinicians offers clients an AI coaching tool for use between therapy sessions. Drawing…
Peer-reviewed
Feasibility of human-in-the-loop multimodal generative artificial intelligence chatbot for school-based adolescent mental health support
Prospective, non-randomized, waitlist-controlled pilot at a junior high school in Zhejiang Province, China, of 'Duoduo', an acceptance-and-commitment-therapy-informed multimodal generative-AI chatbot…
Preprint
Bag of Tricks or Bag of Myths? Reducing Modeling Complexity with Task Knowledge in Explainable Suicide Risk Assessment
Audits 31 pre-specified NLP techniques from seven methodological families (model scaling, synthetic data, loss reweighting, ensembling, structured prediction, threshold tuning and LLM methods) in rou…
Preprint
Beyond the Flag: Clinical Framing Closes the Moderation Gap in Suicide Risk Measurement
Asks how well deployed safety signals recover clinically meaningful suicide-risk severity rather than a binary flag. Releases, under gated access, a benchmark of 516 r/SuicideWatch posts rated by a l…
Peer-reviewed
Exploring generalizability and explainability of LLMs in classifying clinically rated suicidal ideation using heterogeneous data
Hong Kong study asking whether a language-model classifier of clinician-rated suicidal ideation performs unequally across patient subgroups because of linguistic heterogeneity. Cantonese clinical-int…
Lab publication
Continuing To Build Upon Our Safety Priorities
A first-party safety update from Character.AI describing safeguards in operation on its platform as of September 2026. It states that self-harm safeguards consider the surrounding conversation, inclu…
Peer-reviewed
Large Language Model–Based Behavioral Activation Chatbot for Young People With Depression Using Artificial Users and Clinical Experts: Mixed Methods Evaluation
Evaluates how well a GPT-4o-based chatbot with a structured system prompt delivers a single-session behavioural-activation intervention for people with depression aged 14 to 29. Forty-eight sessions…
Lab publication
2026 Responsible AI Transparency Report
Microsoft's third annual responsible-AI transparency report, covering July 2025 to June 2026. One of its four 2026 trends is people turning to conversational AI for personal advice, health questions…
Preprint
Assessing Suicide Risk in Arabic Crisis Helpline Calls: A Comparison of Arabic and English Large Language Models
Evaluates suicide-risk classification from de-identified transcripts of calls to Lebanon's National Lifeline for Emotional Support and Suicide Prevention. Calls were transcribed on site with a Levant…
Peer-reviewed
Generative Large Language Models in Mental Health Care Settings: Systematic Review and Meta-Analysis
PRISMA systematic review of quantitative studies evaluating general-purpose large language models for direct mental health care tasks, searched across PubMed, Embase, ACM Digital Library, IEEE Xplore…
Preprint
Whose Assessment of Distress? Community Perspectives and LLM Alignment on Well-Being Posts
A perspectivist annotation study asking whether large language models used for distress detection capture the perspectives of the communities whose language they assess. 321 participants provided 9,5…
Peer-reviewed
A scoping review on the mental health harms of LLM-based chatbots
A PRISMA-based scoping review synthesising research on mental health harms associated with chatbots built on large language models. A systematic search with a validated search string across five data…
Regulator study
Considerations for the Regulation of Generative AI-Enabled Medical Devices: Discussion Paper and Request for Feedback
A discussion paper from FDA's device centre seeking public comment on how generative-AI-enabled medical devices should be regulated. It proposes distinguishing informational functions from action-dir…
Peer-reviewed
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…
Benchmark / dataset
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…
Preprint
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…
Preprint
DelusionEval: Measuring Delusion-Linked Behaviors in AI Chatbots
Evaluation protocol testing chatbots' tendencies to exhibit behaviors linked to promoting user delusions, grounded in real conversation histories rather than synthetic scenarios. Models are prompted…
Peer-reviewed
AI chatbots and youth suicide risk: current evidence, critical gaps, and a clinical research agenda
Review by researchers at Crisis Text Line examining how general-purpose chatbots and AI companions detect and respond to suicide-risk disclosures from young people, and what the existing evidence can…
Preprint
Analysing Self-Harm Representations in Language Models: a Cross-Architecture Study
Interpretability study of how language models internally represent self-harm content. Trains linear probes at every network layer of four models on two self-harm datasets (X-Sensitive and SH-Detectio…
Lab publication
Alerting Parents if Teens Show Signs of Distress in Conversations With Meta AI
Meta newsroom announcement that supervising parents using Instagram parental supervision will be proactively alerted when a teen's conversation with Meta AI suggests possible suicide or self-harm ris…