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M. Flathers

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Open access Sep 2026

Depictions of Depression in Generative AI Video Models: Mixed Methods Study of OpenAI’s Sora 2

Abstract Background Generative AI video models are increasingly capable of producing complex depictions of mental health experiences, yet little is known about how these systems represent conditions such as depression. Because AI-generated content may reach people during vulnerable periods, understanding what visual na...

M. Flathers, Griffin Smith, J. Herpertz et al. · 0 citations
Review Open access Jul 2026

Use and Perceptions of AI Chatbots for Mental Health Support Among Adults with Lived Experience

In this survey of adults connected to a large mental health organization, AI chatbots were widely used but engagement for mental health purposes was typically brief and focused, suggesting a need for proactive conversations about AI use in routine mental health care.

H. Notsu, P. A. Nguyen, M. Flathers et al. · 0 citations

Sources of Truth: A Multi-Platform, Multilingual Audit of Citations in AI Mental Health Information Queries

This work audited three free consumer products on twenty English mental health questions under two prompt conditions and releases the typology, classifier, and annotated corpus as reusable instruments for auditing generative health search.

Phuong Anh Nguyen, J. Noorily, M. Flathers et al. · 0 citations
Review Aug 2026

HealthBench-Psych: A Mental Health Subset of OpenAI's HealthBench

Evaluating 20 frontier and open models under a cross-vendor panel of three LLM judges, it is found that a statistically tied frontier cluster, measurable refusal behavior in two models, and near-identical rankings across judges are found.

M. Flathers, Phuong Anh Nguyen, J. Noorily et al. · 0 citations

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