Artificial Intelligence, Panacea or Apocalypse?

Code: SL51877

Dates: November 17, 2023

Meets: 12 N to 2:00 PM

Sessions: 1

Location: Creutzburg Center 101

Course Fee: $49.00

Sorry, we are no longer accepting registrations for this course. Please contact our office to find out if it will be rescheduled, or if alternative classes are available.

You've seen fear inducing portrayals of AI gone awry in the movies. Experiments with ChatGPT are producing flawed results. Self-driving cars are making tragic errors. Yet AI promises incredible advances in healthcare and almost every aspect of our daily lives. How do we assess the advantages and disadvantages for ourselves? Learn about the trajectory of AI and the future we can or cannot yet envision. Lunch is included.
Fee: $49.00
You could save $9.00 on this course by becoming a member of MLSN Membership

Creutzburg Center 101

260 Gulph Creek Road
(in Harford Park)
Radnor, PA 19087
Map & Directions

Michael Kearns

Michael Kearns is a Professor and the National Center Chair in the Computer and Information Science Department at the University of Pennsylvania, where his research interests include machine learning, algorithmic game theory, quantitative finance and related topics. He has secondary appointments in Penn’s Economics Department, and in the departments of Statistics and Operations, and Information and Decisions (OID) at the Wharton School. Kearns also has a role at Amazon as part of its Amazon Scholars program, focusing on algorithmic fairness, privacy, machine learning, and related topics within Amazon Web Services. He is the co-author of the general-audience book “The Ethical Algorithm” (with Aaron Roth; Oxford University Press 2019). Kearns has worked extensively in quantitative and algorithmic trading on Wall Street (including at Lehman Brothers, Bank of America, SAC Capital, and Morgan Stanley). In the past he has served as an adviser to technology companies and venture capital firms. He has also occasionally served as an expert witness or consultant on technology-related legal and regulatory cases. Kearns is an elected fellow of the National Academy of Sciences, the American Academy of Arts and Sciences, the Association for Computing Machinery, the Association for the Advancement of Artificial Intelligence, and the Society for the Advancement of Economic Theory.



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