AIMC Journal:
BJPsych bulletin

Showing 1 to 3 of 3 articles

AI and the clinical blind spot: why psychiatry should be part of the conversation about artificial intelligence and human behaviour.

BJPsych bulletin
Artificial intelligence (AI) systems that model human behaviour are built on data humans generate about themselves, yet the assumption that this data is reliable remains largely unexamined. Psychiatry's evidence base directly challenges it. Self-repo...

Precision without participation: why precision psychiatry needs Collaborative/Therapeutic Assessment.

BJPsych bulletin
Contemporary psychiatry often assumes that more precise diagnosis will yield more effective care. Biomarkers, digital phenotyping, artificial intelligence and related tools promise better diagnosis, treatment selection and outcomes. Yet this expectat...

Fluency without understanding: risks of large language models in mental healthcare.

BJPsych bulletin
We always treat fluent language as a marker of intelligence and trustworthiness, often independent of factual accuracy. Large language models (LLMs) exploit this bias by producing confident, human-like texts that are perceived as intelligent and trus...