benchmark
New benchmark reveals major trustworthiness gaps in LLMs for mental health applications
Researchers have released TrustMH-Bench, a comprehensive evaluation framework that tests large language models across eight trustworthiness dimensions specifically for mental health applications. Testing six general-purpose LLMs and six specialized mental health models revealed significant deficiencies across reliability, crisis identification, safety, fairness, privacy, robustness, anti-sycophancy, and ethics—with even advanced models like GPT-5.1 failing to maintain consistently high performance.