Defining and Designing Fair Algorithms

By Sam Corbett-Davies, Sharad Goel, Jamie H. Morgenstern, Rachel Cummings. 2018

8 citations recorded by the source corpus.

Subfields: Safety Research

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Safety Research

1. John V. Guttag
2. Harini Suresh

Citations in the corpus

• A Framework for Understanding Unintended Consequences of Machine Learning (2019, methodology): “• Post-hoc methods , such as identifying different decision thresholds for different groups based on a predicted score, e.g., in order to equalize false positive rates (Hardt et al., 2016; Corbett-Davies and Goel, 2018b).”
• A Framework for Understanding Sources of Harm throughout the Machine Learning Life Cycle (2019, unknown): “Note that methods that attempt to make predictions independently of group membership [11] likely will not address aggregation bias.”