CS 5382
Last Updated
- Schedule of Classes - January 5, 2026 3:59PM EST
Classes
CS 5382
Course Description
Course information provided by the 2025-2026 Catalog.
Machine learning is increasingly used in both high-stakes and everyday settings. Yet, its impacts are uneven, often reinforcing existing social hierarchies by disproportionately benefiting some groups while harming others. This course introduces multiple perspectives on fairness in machine learning, spanning domains in predictive and generative AI as well as tabular, image, and text data. Students will develop the skills to identify fairness challenges, understand why they are difficult to address, and reason through strategies for approaching them.
Enrollment Priority Recommended prerequisite: students should have experience coding in Python and have taken at least one introductory course in machine learning or data science.
Last 1 Terms Offered 2024SP
Regular Academic Session. Combined with: INFO 5390
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Credits and Grading Basis
3 Credits Stdnt Opt(Letter or S/U grades)
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Class Number & Section Details
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Meeting Pattern
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MW
Tata Innovation Center 141X
Cornell Tech Instructors
Wang, A
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MW
Tata Innovation Center 141X
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Additional Information
Instruction Mode: In Person
Enrollment limited to: Cornell Tech students.
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