aceToward a Living Meta-Framework for Evaluating Generative AI in Mental Health
Unlabelled The proliferation of evaluative approaches for generative AI tools used for mental health purposes reflects much-needed attention to safety, ethics, and emerging risks. However, limited alignment across frameworks complicates comparisons, slows progress toward shared goals, and provides little clarity for regulatory processes. The result is a fragmented field that lacks cohesive guidance as the technology and its real-world patterns of use continue to evolve. This position paper synthesizes current ev…
Evaluation frameworks for generative AI mental health tools are poorly aligned, which makes comparison difficult and gives regulators little clarity.
The paper is a position paper that advocates a proposed meta-framework; the source does not report testing it, so its benefits are expected rather than demonstrated.
Evidence
- Peer-reviewedJMIR AI2026-10-15
How should this claim be treated?
Truvace Impact Record TRV-2026-1967, v1: “Toward a Living Meta-Framework for Evaluating Generative AI in Mental Health.” Truvace, 2026-10-20. /record/TRV-2026-1967 (accessed at citation time). sha256 9944a8e85bcd260e…
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