Latest study Language models know which way mental disorders skew by sex, and exaggerate it
We asked 54 language models in four languages to invent a person with a mental disorder 118,800 times. They get the direction of sex differences right and exaggerate their size: borderline PD comes out as a woman 99% of the time. Open dataset.
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We study bias and the limits of language models in clinical contexts, measure the quality of AI-supported CBT case conceptualization, verify the safety of patient data, and refine session notes and the automation of therapeutic documentation.
We document every step openly — methodology, raw data, code and conclusions are published in full. Therapists, researchers and clinicians can look inside our workshop and see what we base product decisions on.
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Publications
All studies
Reports, experiments, technical notes — all openly published.
Language models know which way mental disorders skew by sex, and exaggerate it
We asked 54 language models in four languages to invent a person with a mental disorder 118,800 times. They get the direction of sex differences right and exaggerate their size: borderline PD comes out as a woman 99% of the time. Open dataset.
Small model, careful pipeline: closing the gap to frontier LLMs
An automated, model-evaluated research loop brought a low-cost language model level with a frontier reference on long, multi-document summarisation. Observed on pre-session briefs built from transcripts of two synthetic patients; model-based evaluation only.
How do LLMs see a Polish patient?
An experimental analysis of bias in six language models when generating fictional patients with four mental disorders. 240 queries · 6 models · 4 disorders.
Anna Graniczna is 31, has fear of abandonment, and doesn't exist
How we build synthetic patients for research and testing without risking the privacy of real people. 20 sessions of schema therapy, an open patient sheet, and the anatomy of a good input for an LLM.