123 citations · 366 across the 30 of their papers we have counts for
3 papers · 1 filter
A comparative study of fairness-enhancing interventions in machine learning
Sorelle A. Friedler, Carlos Scheidegger, Suresh Venkatasubramanian +3
Computers are increasingly used to make decisions that have significant impact in people's lives. Often, these predictions can affect different population subgroups disproportionat…
Auditing Black-box Models for Indirect Influence
Philip Adler, Casey Falk, Sorelle A. Friedler +4
Data-trained predictive models see widespread use, but for the most part they are used as black boxes which output a prediction or score. It is therefore hard to acquire a deeper u…
Protocols for Learning Classifiers on Distributed Data
Hal Daume, Jeff M. Phillips, Avishek Saha +1
We consider the problem of learning classifiers for labeled data that has been distributed across several nodes. Our goal is to find a single classifier, with small approximation e…