These tools and metrics are designed to help AI actors develop and use trustworthy AI systems and applications that respect human rights and are fair, transparent, explainable, robust, secure and safe.
VERA-MH (Validation of Ethical and Responsible AI in Mental Health)
VERA-MH (Validation of Ethical and Responsible AI in Mental Health) is a comprehensive framework for evaluating AI chatbots in a mental health context. This evaluation enables researchers, developers, and clinicians to systematically assess how well AI systems handle sensitive mental health conversations across detecting potential risk, confirming risk, guiding to human support, communicating effectively, and holding safe boundaries. By simulating realistic patient-provider interactions using clinically-developed personas and rubrics, VERA-MH provides standardized evaluation metrics that help ensure AI mental health tools are safe, effective, and responsible before deployment.
Related resources include the following research:
- VERA-MH: Reliability and Validity of an Open-Source AI Safety Evaluation in Mental Health
- VERA-MH: Validation of Ethical and Responsible AI in Mental Health
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Tags:
- evaluation
- healthcare
- mental health
- benchmarking
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