Reclaiming informed consent to train mental health AI with patient data.
Where this comes from
- Record sourced from PubMed, PMID 42230776.
- Also identified by DOI 10.1038/s41746-026-02843-8 and PMC identifier 13230920.
- Licence recorded as CC BY.
- The licence permits redistribution, so the abstract is shown in full and the full text is available from the publisher.
Abstract
Companies increasingly train AI models on therapy transcripts, often relying on terms of service that obscure data use to obtain assent. Because AI systems generate inferences from data and enable unforeseen secondary uses, existing consent models do not adequately protect autonomy and confidentiality. We argue for (1) separate and explicit opt-in consent to train on patient data and (2) patient-led governance to prevent the recurrence of exploitation in medical innovation.