Exploring Fairness in Machine Learning for International Development

Exploring Fairness in Machine Learning for International Development

This document is intended to serve as a resource for technical professionals who are considering or undertaking the use of machine learning (ML) in an international development context. Its focus is on achieving fairness and avoiding bias when developing ML for use in international development. T...

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Bibliographic Details
Main Authors:	Awwad, Yazeed, Fletcher, Richard, Frey, Daniel, Gandhi, Amit, Najafian, Maryam, Teodorescu, Mike
Format:	Technical Report
Published:	CITE MIT D-Lab 2020
Online Access:	https://hdl.handle.net/1721.1/126854

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