mlsanityData to 7 Oct 2026

Selection in the Presence of Implicit Bias: The Advantage of Intersectional Constraints

arXiv 2202.01661 ↗First posted 3 Feb 2022cs.CY cs.AI cs.LGcited by 5

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Abstract (arXiv)

In selection processes such as hiring, promotion, and college admissions, implicit bias toward socially-salient attributes such as race, gender, or sexual orientation of candidates is known to produce persistent inequality and reduce aggregate utility for the decision maker. Interventions such as the Rooney Rule and its generalizations, which require the decision maker to select at least a specified number of individuals from each affected group, have been proposed to mitigate the adverse effects of implicit bias in selection. Recent works have established that such lower-bound constraints can be very effective in improving aggregate utility in the case when each individual belongs to at most one affected group. However, in several settings, individuals may belong to multiple affected groups and, consequently, face more extreme implicit bias due to this intersectionality. We consider independently drawn utilities and show that, in the intersectional case, the aforementioned non-intersectional constraints can only recover part of the total utility achievable in the absence of implicit bias. On the other hand, we show that if one includes appropriate lower-bound constraints on the intersections, almost all the utility achievable in the absence of implicit bias can be recovered. Thus, intersectional constraints can offer a significant advantage over a reductionist dimension-by-dimension non-intersectional approach to reducing inequality.

Key facts. Cited by 5 papers in the map (data through 7 Oct 2026). Builds on 5 of its 94 references that are in the map. First posted on arXiv 3 Feb 2022.

Builds on

5 of 94 references.

References · 5

  1. 2019Assessing Social and Intersectional Biases in Contextualized Word Representationscited by 134
  2. 2019Recovering from Biased Data: Can Fairness Constraints Improve Accuracy?cited by 50
  3. 2018Selection Problems in the Presence of Implicit Biascited by 29
  4. 2020Interventions for Ranking in the Presence of Implicit Biascited by 27
  5. 2021On Fair Selection in the Presence of Implicit and Differential Variancecited by 9

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Citing papers per year: 2022: 1; 2023: 3; 2024: 1.

5 papers.