With people increasingly turning to AI chatbots for mental health support, the need to evaluate these tools is becoming more pressing. Recent benchmarks attempt to mimic a realistic setting by simulating multi-turn interactions with synthetic patients and evaluating them with an LLM-as-a-judge. However, the usefulness...
John Mendonça, Daniel Tschernutter, José Pombal et al.· 0 citations
Reference intervals (RIs) are a well-established clinical tool for defining healthy bounds of laboratory measures. Recently, they have been applied to acoustic features extracted from speech to provide a transparent and disorder-agnostic perspective on symptomatic speakers. We evaluate the potential and limitations of...
Pascal Hecker, M. Gonzalez-Machorro, Catarina Botelho et al.· Frontiers in Digital Health· 0 citations
A model-agnostic safety governance architecture that combines contextual risk detection, reasoning-based verification, and protocol-guided response generation for multi-turn mental health interactions is developed, providing a scalable framework for safer deployment across models.
A. Areias, Catarina Botelho, António Farinhas et al.· arXiv.org· 0 citations
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