71 artifacts matching
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…
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…
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…
Model Card: Grok 4.6
36-page model card for Grok 4.6, described as the latest release in xAI's 1.5T-scale model family, developed with supplemental training on anonymized Cursor workflow data. Predominantly capability be…
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…
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…
Measuring and Detecting Harmful AI Sycophancy
Large-scale measurement and detection study of preference-induced stance reversal (PSRS) — the harmful form of sycophancy where a model abandons a correct or safe position after user pushback. Builds…
GPT-5.6 – August Updates
System-card addendum for the August 2026 releases of GPT-5.6 Sol and GPT-5.6 Luna. For the first time, OpenAI includes dedicated under-18 evaluations measuring model behavior against teen-specific sa…
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…
Why LLMs Give In: Conversational Factors and Reasoning Behind Medical Sycophancy
Large-scale factorial study of medical sycophancy — models abandoning correct medical answers under user pushback — crossing four conversational factors with five open-weight models over 500 MedQuAD-…
Best Friends, Not Forever: Evaluating Long-Horizon Persona Collapse and Behavioral Drift in AI Companions
Introduces ANCHOR, an audit framework for long-horizon consistency in AI companions, evaluating persona enactment and trajectory recall over 2,008 conversations across 27 personas and four models. Fi…
Shieldstral
Technical report introducing Shieldstral, a 3B-parameter open-weights (Apache 2.0) policy-adaptive multimodal safety classifier from Mistral AI. Content moderation is reformulated as binary question-…
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,…
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…
Independent Clinical Evaluation of General-Purpose LLM Responses to Signals of Suicide Risk
Conference paper from UL Research Institutes' Digital Safety group and Sentio University assessing whether a general-purpose open-weight model follows clinically derived guidelines for ethical commun…
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…
Conversational trajectory degrades large language model detection of suicidal ideation relative to clinicians: a preregistered study
Preregistered study comparing 49 large language models against 8 clinicians on detecting suicidal ideation embedded in psychotherapy transcripts of increasing length (0-200 speaker turns). Model F1 d…
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…