- the privacy classification of various health-related data, re-identifiability based on these data, as well as risk mitigation measures;
- the socio-legal implications of data-driven healthcare, data as public good and disposition thereof;
- the incorporation of AI into medical research and healthcare, including training, validation, and use of AI applications;
- privacy in the international setting (of health care) and the socio-legal assessment of the engagement of private sector actors as well as public agencies.
We encourage your active participation in what promises to be an interesting and lively event.
Registration is mandatory at Data_Protection_Lectures@bioquant.uni-heidelberg.de
