Exploring Fairness in Machine Learning for International Development

Words related to machine learning in the shape of a question mark.

This resource explores how and why to apply ethics in machine learning. (Image by MIT OpenCourseWare.)


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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 developed capacity-building activities and material. This material covers content through four modules that an be integrated into existing courses over a one to two week period.

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Richard Fletcher, Daniel Frey, Mike Teodorescu, Amit Gandhi, and Audace Nakeshimana. RES.EC-001 Exploring Fairness in Machine Learning for International Development. Spring 2020. Massachusetts Institute of Technology: MIT OpenCourseWare, https://ocw.mit.edu. License: Creative Commons BY-NC-SA.

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