Teaching

Trust and the Ethics of AI (University of Toronto, ETH350H1-S, Spring Semester 2022)

When can we characterize an AI system as trustworthy? In this course, we will get to know some of the fundamental concepts and the most pressing topics related to trust and the ethics of AI. Among the questions that will be raised are: What is so unique in AI-based technologies that its development raises so much concern? How is responsibility distributed in a complex system that operates an AI? How can we recognize ethical whitewash in AI projects? Should policy-makers leave the markets alone to solve these questions? We will examine what a framework of trust in AI might entail by engaging with methodologies for ethically assessing the social impact of technologies, the design of trust in AI-based systems, and consider the most recent roles that activism has played in raising awareness for the wrongdoings of developing and using AIs.