Artificial intelligence is shaping nearly every sector of our lives, from education to healthcare to work to entertainment, bringing with it profound ethical and regulatory challenges. This specialization provides a broad, interdisciplinary foundation for analyzing the ethical, social, and policy dimensions of AI. Learners will engage with topics such as misinformation, bias and fairness, the future of work, intellectual property, and key AI applications. Learners will also explore the risks and benefits of AI systems through historical perspectives, analysis of current events, and futuring. Students will learn to identify ethical dilemmas, critique proposed solutions, design policy, and think through value-aligned pathways for AI’s future.
Applied Learning Project
Learners work directly with real AI issues and controversies from recent news and research, using course frameworks to diagnose the ethical and societal problems at stake and to design and stress-test responses - the same sort of analytical work practitioners do when governing AI in the real world. Assessments are conducting through graded quizzes. Learners in the For-Credit version will also submit peer review assignments.
