The ethics of AI

Part of the series "Coffee Lectures Health & Science" | Spring Semester 2026

This coffee lecture provides a focused overview of the key ethical issues of AI in medicine and the natural sciences, including data privacy, bias, transparency, accountability, and research integrity. It highlights the specific risks of AI in decision-making while drawing parallels to data-driven research more broadly. The aim is to equip researchers and clinicians with a clear framework for critically and responsibly using AI tools.