WHO’s event page for the third meeting of the Global Initiative on AI for Health highlights privacy-preserving evaluation approaches that keep clinical data under institutional control while models are assessed securely. This is relevant to privacy because it points to governance and technical methods that reduce the need to centralize sensitive health data. The meeting suggests continued international interest in evaluating health AI without broad data sharing.
