This course explores the ethical, social, and political implications of artificial intelligence (AI) and evaluates its impact on our lives. After a brief introduction to AI and Machine Learning, the course studies a variety of questions concerning the fairness, bias, manipulation, and accountability of a number of types of AI, including generative AI, deep fakes, and facial recognition technology. Students will learn to identify and evaluate key themes and ethical challenges that cut across these various contexts and technologies as well as the strategies that researchers and policymakers have proposed for addressing them.This course is cross listed with PHI 3280. Students will receive credit for either PHI 3280 or CIS 3280. These courses may substitute for each other with the F-replacement policy.
Prerequisite: Any 1000-level course in Philosophy.