Ethics of AI: GradFUTURES Learning Cohort Session 6

GradFUTURES Learning Cohorts (GLCs) are a series of interdisciplinary seminars and co-curricular learning opportunities that bring together students, alumni, faculty, and industry partners to focus on current societal, industry, and/or global trends. There are generally seven or more sessions (an hour or more in length) with optional pre-reading and reflection activities. While each learning cohort is unique, most offer an experiential component such as a site visit, shadowing opportunity, immersive project, or internship/fellowship.

Graduate students from the humanities and the sciences explore the intersection of ethics and artificial intelligence (AI) in a collaborative environment with academic researchers and industry leaders. Through presentations, case studies, short readings, debate and discussion, participants develop an awareness of the issues at stake.
Hear more about the Learning Cohort here - https://www.youtube.com/watch?v=0Vu-KGsVV_A

Lead: Yatin Manerkar *21, Assistant Professor in the Computer Science and Engineering department at the University of Michigan
Topic: Why is Ethical AI Hard? A Technical Perspective
How do AI systems today actually work? What are some of the correctness issues we encounter with them? Why is it hard to make computing and AI systems ethical? And how might we go about verifying that they are indeed so?

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