Generative AI Purpose-built for Social and Mental Health: A Real-World Pilot AI updates on arXiv.org
Generative AI Purpose-built for Social and Mental Health: A Real-World Pilotcs.AI updates on arXiv.org arXiv:2511.11689v3 Announce Type: replace-cross
Abstract: Generative artificial intelligence (GAI) chatbots built for mental health could deliver safe, personalized, and scalable mental health support. We evaluate a foundation model designed for mental health. Adults completed mental health measures while engaging with the chatbot between May 15, 2025 and September 15, 2025. Users completed an opt-in consent, demographic information, mental health symptoms, social connection, and self-identified goals. Measures were repeated every two weeks up to 6 weeks, and a final follow-up at 10 weeks. Analyses included effect sizes, and growth mixture models to identify participant groups and their characteristic engagement, severity, and demographic factors. Users demonstrated significant reductions in PHQ-9 and GAD-7 that were sustained at follow-up. Significant improvements in Hope, Behavioral Activation, Social Interaction, Loneliness, and Perceived Social Support were observed throughout and maintained at 10 week follow-up. Engagement was high and predicted outcomes. Working alliance was comparable to traditional care and predicted outcomes. Automated safety guardrails functioned as designed, with 76 sessions flagged for risk and all handled according to escalation policies. This single arm naturalistic observational study provides initial evidence that a GAI foundation model for mental health can deliver accessible, engaging, effective, and safe mental health support. These results lend support to findings from early randomized designs and offer promise for future study of mental health GAI in real world settings.
arXiv:2511.11689v3 Announce Type: replace-cross
Abstract: Generative artificial intelligence (GAI) chatbots built for mental health could deliver safe, personalized, and scalable mental health support. We evaluate a foundation model designed for mental health. Adults completed mental health measures while engaging with the chatbot between May 15, 2025 and September 15, 2025. Users completed an opt-in consent, demographic information, mental health symptoms, social connection, and self-identified goals. Measures were repeated every two weeks up to 6 weeks, and a final follow-up at 10 weeks. Analyses included effect sizes, and growth mixture models to identify participant groups and their characteristic engagement, severity, and demographic factors. Users demonstrated significant reductions in PHQ-9 and GAD-7 that were sustained at follow-up. Significant improvements in Hope, Behavioral Activation, Social Interaction, Loneliness, and Perceived Social Support were observed throughout and maintained at 10 week follow-up. Engagement was high and predicted outcomes. Working alliance was comparable to traditional care and predicted outcomes. Automated safety guardrails functioned as designed, with 76 sessions flagged for risk and all handled according to escalation policies. This single arm naturalistic observational study provides initial evidence that a GAI foundation model for mental health can deliver accessible, engaging, effective, and safe mental health support. These results lend support to findings from early randomized designs and offer promise for future study of mental health GAI in real world settings. Read More
Gates Foundation and OpenAI test AI in African healthcareAI News Primary healthcare systems across parts of Africa are under growing strain, caught between rising demand, chronic staff shortages, and shrinking international aid budgets. In that context, AI is being tested in healthcare less as a breakthrough technology and more as a way to keep basic services running. According to reporting by Reuters, the Gates Foundation
The post Gates Foundation and OpenAI test AI in African healthcare appeared first on AI News.
Primary healthcare systems across parts of Africa are under growing strain, caught between rising demand, chronic staff shortages, and shrinking international aid budgets. In that context, AI is being tested in healthcare less as a breakthrough technology and more as a way to keep basic services running. According to reporting by Reuters, the Gates Foundation
The post Gates Foundation and OpenAI test AI in African healthcare appeared first on AI News. Read More
What Other Industries Can Learn from Healthcare’s Knowledge GraphsTowards Data Science How shared meaning, evidence, and standards create durable semantic infrastructure
The post What Other Industries Can Learn from Healthcare’s Knowledge Graphs appeared first on Towards Data Science.
How shared meaning, evidence, and standards create durable semantic infrastructure
The post What Other Industries Can Learn from Healthcare’s Knowledge Graphs appeared first on Towards Data Science. Read More
5 Breakthroughs in Graph Neural Networks to Watch in 2026KDnuggets This article outlines 5 recent breakthroughs in GNNs that are worth watching in the year ahead: from integration with LLMs to interdisciplinary scientific discoveries.
This article outlines 5 recent breakthroughs in GNNs that are worth watching in the year ahead: from integration with LLMs to interdisciplinary scientific discoveries. Read More
Stop Writing Messy Boolean Masks: 10 Elegant Ways to Filter Pandas DataFramesTowards Data Science Master the art of readable, high-performance data selection using .query(), .isin(), and advanced vectorized logic.
The post Stop Writing Messy Boolean Masks: 10 Elegant Ways to Filter Pandas DataFrames appeared first on Towards Data Science.
Master the art of readable, high-performance data selection using .query(), .isin(), and advanced vectorized logic.
The post Stop Writing Messy Boolean Masks: 10 Elegant Ways to Filter Pandas DataFrames appeared first on Towards Data Science. Read More
LastPass is warning of a new phishing campaign disguised as a maintenance notification from the service, asking users to back up their vaults in the next 24 hours. […] Read More
Fortinet customers are seeing attackers exploiting a patch bypass for a previously fixed critical FortiGate authentication vulnerability (CVE-2025-59718) to hack patched firewalls. […] Read More
People worldwide are being targeted by a massive spam wave originating from unsecured Zendesk support systems, with victims reporting receiving hundreds of emails with strange and sometimes alarming subject lines. […] Read More
Two high-severity vulnerabilities in Chainlit, a popular open-source framework for building conversational AI applications, allow reading any file on the server and leak sensitive information. […] Read More
The bait incudes plausible subject lines and credible messages, most likely thanks to attackers’ use of large language models to craft them. Read More
