AI Ethics and Governance
Although AI integration in healthcare faces ethical and practical hurdles, effective governance and tools are crucial for ensuring innovation aligns with public trust and legal compliance. Specific principles for "ethical AI" are still under debate, but operationalizing ethical and legal health data management is key.
Some Key Questions
Our group investigates a number of key questions surrounding the ethical and legal challenges of health AI. We examine how to ensure algorithmic transparency and build trustworthy AI that mitigates risks like bias, exploitation, and the erosion of individual autonomy. We also ask what effective, inclusive, and reflexive governance looks like for health data and what interdisciplinary frameworks are needed to guide responsible innovation. A central question is how to balance protecting patient privacy with the needs of scientific freedom while communicating complex legal standards in an accessible and meaningful way.