Advanced Topics of AI Governance

Catalog description

Drawing from the lessons of earlier courses, this course provides a thorough exploration of data governance within the context of artificial intelligence (AI) and machine learning (ML). Students will start by defining AI ethics and core principles guiding AI and ML development, expanding on key issues such as bias, fairness, and transparency. This course will then explore the current landscape of AI regulation and legislation, examining the roles of governments and international organizations in shaping and enforcing these regulations. Students will discuss the challenges and opportunities associated with AI governance, gaining insights into how regulatory frameworks can both address ethical concerns and foster innovation.