paper

Artificial Intelligence in Positive Mental Health

A narrative review discusses applications, cultural context, and validation needs.

Anoushka Thakkar, Ankita Gupta, and Avinash De Sousa review possible roles for AI in mental-health awareness, assessment, interventions, and emotional regulation.[1]

Contribution and relevance

The 2024 narrative review discusses bias, privacy, cultural sensitivity, human oversight, and validation. These concerns connect Social Alignment with outcomes for affected people rather than treating technical accuracy as sufficient.[1]

Evidence limits

The article is a narrative synthesis, not an original trial or pooled effect estimate. Broad statements about benefits require checking the specific interventions, populations, and studies cited. Its recommendations do not independently demonstrate safety or effectiveness. The authors acknowledge scope and generalizability limits and call for clinical trials. Its compressed AI history is not used for the wiki’s event dates. Read alongside De-humanizing Care for a different, ethnographic approach to institutional and user perspectives.

Sources

  1. Artificial intelligence in positive mental health: a narrative review · Source record src-137 · Back to claim ↑1 ↑2

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Last updated 2026-10-07