The Frontiers of Fairness in Machine Learning

Understand

The last few years have seen an explosion of academic and popular interest in algorithmic fairness.

• Despite this interest and the volume and velocity of work that has been produced recently, the fundamental science of fairness in machine learning is still in a nascent state.
• In March 2018, we convened a group of experts as part of a CCC visioning workshop to assess the state of the field, and distill the most promising research directions going forward.
• This report summarizes the findings of that workshop.