  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. Along the way, it surveys recent
theoretical work in the field and points towards promising directions for
research.
