Causally Interpreting Intersectionality Theory

By Liam Kofi Bright, Daniel Malinsky, Morgan J. Thompson. 2016

112 citations recorded by the source corpus.

Subfields: Gender Studies, Social Psychology

How researchers see this paper

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

1. Shira Mitchell
2. Eric Potash
3. Solon Barocas
4. Adrian Weller
5. Amanda Coston
6. Muhammad Bilal Zafar
7. Ben Hutchinson
8. Sunipa Dev

Citations in the corpus

• Prediction-Based Decisions and Fairness: A Catalogue of Choices, Assumptions, and Definitions (2018, background): “, “what if the applicant were a black woman instead of a white male?”) [15].”
• The Algorithmic Leviathan: Arbitrariness, Fairness, and Opportunity in Algorithmic Decision Making Systems (2021, unknown): “Although intersectional identities can be modeled (Bright, Malinsky, and Thompson 2016), disadvantage to intersectional groups may nevertheless be more difficult to identify using a method such as algorithmic auditing, especially if the group has few members in the data set or if one of the axes is…”