Call Number | 10423 |
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Day & Time Location |
T 2:10pm-4:00pm 501A International Affairs Building |
Points | 3 |
Grading Mode | Standard |
Approvals Required | None |
Instructor | Neal P Parikh |
Type | LECTURE |
Method of Instruction | In-Person |
Course Description | Artificial Intelligence (AI) and machine learning have emerged as increasingly ubiquitous technologies in a wide range of areas, such as finance, healthcare, workforce management, and advertising, in addition to several domains in the public sector, including but not limited to criminal justice and law enforcement. In the past several years, ethical questions about how and whether to use AI for particular tasks have become much more prominent, partly due to its widespread use and partly due to publicly documented failures or shortcomings of a number of systems that can negatively impact people in sometimes serious ways. This course will provide a broad overview of practical, ethical, and governance questions related to AI — such as those related to privacy, cybersecurity, fairness, transparency, and more — with a view towards policymaking. Policymaking will be interpreted broadly, including both the public and private sectors. The course will include a survey of how machine learning works so as to ground the discussion, as well as a wide range of concrete, real-world examples and case studies. The instructor served as the first Director of AI for New York City and will also draw on this experience, which included collaborations with a number of other city governments internationally. The course will also include several guest speakers who directly engage with significant AI or AI policy projects in various areas. |
Web Site | Vergil |
Department | International and Public Affairs |
Enrollment | 25 students (25 max) as of 9:05PM Tuesday, January 7, 2025 |
Status | Full |
Subject | International Affairs |
Number | U6545 |
Section | 001 |
Division | School of International and Public Affairs |
Open To | SIPA |
Section key | 20251INAF6545U001 |