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The Myth in the Methodology: Towards a Recontextualization of Fairness in Machine Learning

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References

2016Equality of Opportunity in Supervised Learning2,535 cited
2018The accuracy, fairness, and limits of predicting recidivism1,071 cited
2016Fairness Beyond Disparate Treatment & Disparate Impact: Learning Classification without Disparate Mistreatment559 cited
2011Prisons Do Not Reduce Recidivism406 cited
1987False Necessity: Anti-Necessitarian Social Theory in the Service of Radical Democracy325 cited
2015Precinct or Prejudice? Understanding Racial Disparities in New York City's Stop-and-Frisk Policy286 cited
2017Modeling Contagion Through Social Networks to Explain and Predict Gunshot Violence in Chicago, 2006 to 2014228 cited
2018A Short-term Intervention for Long-term Fairness in the Labor Market133 cited

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2020On Consequentialism and Fairness39 cited
2021The politics and reciprocal (re)configuration of accountability and fairness in data-driven education30 cited

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2023

Out of Context: Investigating the Bias and Fairness Concerns of “Artificial Intelligence as a Service”

30 cited

2021Perception of fairness in algorithmic decisions: Future developers' perspective29 cited

2022Ethical implications of fairness interventions: what might be hidden behind engineering choices?18 cited

2025Fairness and bias in AI: a sociotechnical perspective16 cited

2021Educating Computer Science Students about Algorithmic Fairness, Accountability, Transparency and Ethics16 cited

2021Web Futures: Inclusive, Intelligent, Sustainable The 2020 Manifesto for Web Science (Dagstuhl Perspectives Workshop 18262)1 cited