CSCI320

This course introduces key components of Artificial Intelligence (AI) governance, focusing on oversight mechanisms that both address risks such as unethical bias, discrimination, and privacy infringement, and promote trust through accountability and transparency. We explore these issues from the perspectives of various stakeholders—users, AI developers, investors, entrepreneurs, policymakers, and the broader public—highlighting the need to align AI systems with societal values and ethical standards. Students learn methods to analyze ethical considerations throughout the AI lifecycle, from development and deployment to ongoing oversight and sunsetting. The course also reviews important regulations, such as the EU AI Act, and guidelines from organizations like NIST, IEEE, and Microsoft. Through real-world and hypothetical case studies, we examine how AI governance models can be implemented across sectors such as healthcare, finance, and autonomous systems. By the end of the course, students are equipped to review, assess, and draft governance frameworks for AI and data management systems. Prerequisite: MATH 150 or permission of instructor