Semantic Scholar
Open Access
2018
435 sitasi
The Frontiers of Fairness in Machine Learning
Alexandra Chouldechova
Aaron Roth
Abstrak
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.
Topik & Kata Kunci
Penulis (2)
A
Alexandra Chouldechova
A
Aaron Roth
Akses Cepat
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