INFO 6455

Algorithmic Fairness Seminar

Course Description

Course information provided by the 2025-2026 Catalog.

This seminar will showcase a variety of methods for and applications of algorithmic fairness research across disciplines – from machine learning and statistics, to public health and public policy – and will instruct on both (a) reading out-of-discipline papers and (b) writing for a multidisciplinary audience. Weekly guest lectures will each cover a different topic in algorithmic fairness, and will involve guided paper discussions and question-answering sessions with invited academic researchers.

Last 4 Terms Offered 2025FA

Learning Outcomes

• Define what “algorithmic fairness” entails across disciplines.
• Solidify their ability to read algorithmic fairness papers, and understand relevant methods used to study fairness, across both qualitative and quantitative fields.
• Demonstrate oral communication skills by fostering dialogue with academic researchers in the algorithmic fairness field.

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