Fair Inputs and Fair Outputs: The Incompatibility of Fairness in Privacy and Accuracy
UMAP '20: 28th ACM Conference on User Modeling, Adaptation and Personalization Genoa Italy July, 2020, pp. 260-267, 2020.
Fairness concerns about algorithmic decision-making systems have been mainly focused on the outputs (e.g., the accuracy of a classifier across individuals or groups). However, one may additionally be concerned with fairness in the inputs. In this paper, we propose and formulate two properties regarding the inputs of (features used by) a c...More
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