9 citations · 21 across the 4 of their papers we have counts for
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cs.LG2020
Addressing multiple metrics of group fairness in data-driven decision making
Marius Miron, Songül Tolan, Emilia Gómez +1
The Fairness, Accountability, and Transparency in Machine Learning (FAT-ML) literature proposes a varied set of group fairness metrics to measure discrimination against socio-demog…
cs.LG2019★ 6 cited
Fair and Unbiased Algorithmic Decision Making: Current State and Future Challenges
Songül Tolan
Machine learning algorithms are now frequently used in sensitive contexts that substantially affect the course of human lives, such as credit lending or criminal justice. This is d…