MIT RES.EC-001 Exploring Fairness in Machine Learning, Spring 2020
MIT OpenCourseWare
EducationScience
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Instructor: Dan Frey
View the complete course: https://ocw.mit.edu/RES-EC-001S20
YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP63IFQn8FklBOUhYVcmaxpOX
In an effort to build the capacity of the students and faculty on the topics of bias and fairness in machine learning (ML) and appropriate use of ML, the MIT CITE team is developing capacity building activities and materials including videos and supplemental materials. In total, the team will cover content through four modules that could be integrated into existing courses over a one to two week period. The broader goal is to bring awareness and potentially investment to ML, bias, and fairness issues, especially in developing countries.
License: Creative Commons BY-NC-SA
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