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Fairness in Machine Learning

Fernanda Viegas & Martin Watterberg - Google Brain

As machine learning finds a place in high-stakes arenas such as finance and criminal justice, it's critical to make sure the people it affects are treated fairly. Meeting this challenge is a complex and important endeavor that combines computer science, ethics, and mathematics in sometimes surprising ways.

Fernanda & Martin are talking about recent results on fairness in ML that range from theoretical to practical, including constructive steps developers can take.