mlsanityData to 14 Oct 2026

Towards Substantive Conceptions of Algorithmic Fairness: Normative Guidance from Equal Opportunity Doctrines

arXiv 2207.02912 ↗First posted 6 Jul 2022cs.CY cs.AI cs.LGcited by 10

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Abstract (arXiv)

In this work we use Equal Oppportunity (EO) doctrines from political philosophy to make explicit the normative judgements embedded in different conceptions of algorithmic fairness. We contrast formal EO approaches that narrowly focus on fair contests at discrete decision points, with substantive EO doctrines that look at people's fair life chances more holistically over the course of a lifetime. We use this taxonomy to provide a moral interpretation of the impossibility results as the incompatibility between different conceptions of a fair contest -- foward-looking versus backward-looking -- when people do not have fair life chances. We use this result to motivate substantive conceptions of algorithmic fairness and outline two plausible procedures based on the luck-egalitarian doctrine of EO, and Rawls's principle of fair equality of opportunity.

Key facts. Cited by 10 papers in the map (data through 14 Oct 2026). Builds on 12 of its 37 references that are in the map. First posted on arXiv 6 Jul 2022.

Builds on

12 of 37 references.

References · 12

  1. 2016Equality of Opportunity in Supervised Learningcited by 2,007
  2. 2016Fair prediction with disparate impact: A study of bias in recidivism prediction instrumentscited by 672
  3. 2016Inherent Trade-Offs in the Fair Determination of Risk Scorescited by 586
  4. 2018Delayed Impact of Fair Machine Learningcited by 184
  5. 2017Fairness in Machine Learning: Lessons from Political Philosophycited by 149
  6. 2018A Moral Framework for Understanding of Fair ML through Economic Models of Equality of Opportunitycited by 53
  7. 2018Downstream Effects of Affirmative Actioncited by 34
  8. 2020On the Moral Justification of Statistical Paritycited by 30
  9. 2021Allocating Opportunities in a Dynamic Model of Intergenerational Mobilitycited by 12
  10. 2021Gradual (In)Compatibility of Fairness Criteriacited by 8
  11. 2022Multi Stage Screening: Enforcing Fairness and Maximizing Efficiency in a Pre-Existing Pipelinecited by 8
  12. 2021RAWLSNET: Altering Bayesian Networks to Encode Rawlsian Fair Equality of Opportunitycited by 4

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Citing papers per year: 2023: 3; 2024: 3; 2025: 4.

10 papers.