24 stories tagged Mental Health
Circuit Breaker Labs has developed AI 'crash-test dummies' that simulate user interactions to identify psychological harms caused by AI systems. The tools aim to make AI safer for children and adults by catching harmful outputs before deployment.
OpenAI introduced MentalHealthBench, an expert-informed benchmark that evaluates AI responses in realistic mental health conversations for safety, helpfulness, empathy, and accuracy.
OpenAI released HealthBench-Psych, a specialized benchmark to evaluate how well AI models handle mental health conversations. This tool helps developers improve AI's ability to provide psychological support, which is increasingly important as more people turn to AI for mental health assistance.
A systematic review of 260+ studies on ArXiv details how large language models (LLMs) are applied in mental health — from social media analysis for early depression detection to clinical conversational agents and therapy support tools — while highlighting key ethical challenges around privacy, consent, and reliability.
China has banned AI companions, affecting millions who use them for emotional support. The government cites concerns over mental health and addiction. This is part of a broader crackdown on AI services in the country.
OpenAI and the American Psychological Association are collaborating to create evidence-based guidelines and resources for the responsible use of AI in youth mental health, aiming to protect young people while harnessing AI's potential benefits.
Hank Green, a popular YouTuber, publicly apologized for his excessive use of AI, admitting it's unhealthy. He warned about the addictive nature of interacting with AI models.
Researchers highlight risks of AI in mental health and propose a new framework to ensure safer, more effective support. The study calls for proactive measures to address long-term harms like dependency and distorted beliefs.
Researchers developed a new framework to train AI judges that evaluate mental health chatbots. This could make AI therapy tools more effective and reliable for users.
Tech workers in Silicon Valley are experiencing increased burnout due to fears of AI replacing their jobs. The pressure to constantly upskill and adapt is taking a toll on mental health.
Researchers developed an AI system that combines official drug data with patient experiences to provide safer, more accurate medication information. This could help people make better decisions about their mental health treatments.
A new study found that AI chatbots fail to provide consistent safety for most mental health conditions. Only suicide and self-harm have reliable safeguards in place. Researchers call for better standards and transparency.
Scientists have created StoryMI, a multi-AI system that can generate realistic therapeutic dialogues. This tool could help train therapists and provide new ways to practice motivational interviewing techniques.
Researchers at CUNY developed an AI system that analyzes social media timelines to track mental health changes. The tool identifies emotional states and predicts shifts in mood over time.
The Path, a new AI therapy startup, claims its model scores 95 on a mental health safety benchmark, far surpassing existing consumer bots. This could make AI therapy more reliable for everyday users.
Engineers using AI tools report higher stress and burnout. The pressure to keep up with AI-driven productivity expectations is taking a toll.
Researchers found that large language models can predict psychological well-being from short voice recordings. This could lead to new tools for mental health screening and support.
OpenAI is introducing a new safety feature in ChatGPT that lets users designate a trusted person to be alerted if the AI detects potential self-harm. This aims to provide an extra layer of support for users in distress.
OpenAI has introduced a Trusted Contact feature in ChatGPT to alert a chosen friend or family member if the AI detects serious self-harm concerns. This optional safety tool aims to provide an extra layer of support for users.
Researchers found that AI models can generate posts that make people feel inferior or superior, but struggle to recognize these effects in their own writing. This highlights a gap in AI's understanding of human psychology.
A new study analyzes intermediate reasoning steps of LLMs to reveal stigmatizing language and biases toward mental health conditions. The findings highlight limitations of traditional evaluation methods.
Researchers developed an LLM-based tool to identify HIV-related stigma in clinical narratives, addressing a critical gap in healthcare documentation. The tool could improve mental health outcomes and treatment adherence for people living with HIV.
Researchers analyzed 1,108 audio-recorded primary care visits to train AI models that detect depression from naturalistic dialogue. The best-performing model, combining Sentence-BERT with logistic regression, achieved high accuracy in identifying patients with PHQ-9 confirmed depression.
Google's Gemini now directs users to mental health resources faster during crises. The update aims to provide timely support for those in need.