SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
On the Fairness of Causal Algorithmic Recourse
14 references·2 citing·30 second hop
On the Fairness of Causal Algorithmic Recourse (2022)On the Fairness of Causal Algorithmic Rec…The philosophical basis of algorithmic recourse (2020)The philosophical basis of al…Path-Specific Counterfactual Fairness (2019)Path-Specific Counterfactual …Counterfactual Fairness: Unidentification, Bound and Algorithm (2019)Counterfactual Fairness: Unid…Fairness in Decision-Making — The Causal Explanation Formula (2018)Fairness in Decision-Making —…Causal Reasoning for Algorithmic Fairness (2018)Causal Reasoning for Algorith…When Worlds Collide: Integrating Different Counterfactual Assumptions in Fairness (2017)When Worlds Collide: Integrat…Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments (2017)Fair Prediction with Disparat…Counterfactual Fairness (2017)Counterfactual FairnessAvoiding Discrimination through Causal Reasoning (2017)Avoiding Discrimination throu…Fairness Beyond Disparate Treatment & Disparate Impact: Learning Classification without Disparate Mistreatment (2016)Fairness Beyond Disparate Tre…Equality of Opportunity in Supervised Learning (2016)Equality of Opportunity in Su…Fairness Constraints: Mechanisms for Fair Classification (2015)Fairness Constraints: Mechani…Learning Fair Representations (2013)Learning Fair RepresentationsFairness through awareness (2012)Fairness through awarenessWhat-is and How-to for Fairness in Machine Learning: A Survey, Reflection, and Perspective (2023)What-is and How-to for Fairne…Fairness in Agreement With European Values (2022)Fairness in Agreement With Eu…Incorporating Fairness into Game Theory and Economics (2011)How the machine ‘thinks’: Understanding opacity in machine learning algorithms (2016)Princeton University Press (2017)Semantics derived automatically from language corpora contain human-like biases (2017)A Survey on Bias and Fairness in Machine Learning (2021)Big Data's Disparate Impact (2014)ChatGPT: A comprehensive review on background, applications, key challenges, bias, ethics, limitations and future scope (2023)Structural Equations with Latent Variables (1989)Structural Equations with Latent Variables. (1991)Fair preprocessing: towards understanding compositional fairness of data transformers in machine learning pipeline (2021)Multiobjective Optimization-Based Collective Opinion Generation With Fairness Concern (2023)Policy advice and best practices on bias and fairness in AI (2024)Testing Structural Equation Models. (1995)Fairness definitions explained (2018)Bias in data‐driven artificial intelligence systems—An introductory survey (2020)Algorithmic Decision Making and the Cost of Fairness (2017)AI Fairness 360: An extensible toolkit for detecting and mitigating algorithmic bias (2019)Fairness in Machine Learning: Lessons from Political Philosophy (2017)Fairness of Exposure in Rankings (2018)Where fairness fails: data, algorithms, and the limits of antidiscrimination discourse (2019)Dissecting racial bias in an algorithm used to manage the health of populations (2019)Fairness and Abstraction in Sociotechnical Systems (2019)A snapshot of the frontiers of fairness in machine learning (2020)Bias and Discrimination in AI: A Cross-Disciplinary Perspective (2021)Algorithmic fairness in education (2022)Fairness Beyond Disparate Treatment & Disparate Impact (2017)Algorithmic Fairness: Choices, Assumptions, and Definitions (2020)Fairness in Algorithmic Decision Making: An Excursion Through the Lens of Causality (2019)A clarification of the nuances in the fairness metrics landscape (2022)AI Fairness in Data Management and Analytics: A Review on Challenges, Methodologies and Applications (2023)
this work references cited by second hop

References

  • 2012Fairness through awareness3,501 cited
  • 2016Equality of Opportunity in Supervised Learning2,535 cited
  • 2017Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments2,157 cited
  • 2013Learning Fair Representations1,126 cited
  • 2017Counterfactual Fairness995 cited
  • 2015Fairness Constraints: Mechanisms for Fair Classification644 cited
  • 2016Fairness Beyond Disparate Treatment & Disparate Impact: Learning Classification without Disparate Mistreatment559 cited
  • 2017Avoiding Discrimination through Causal Reasoning358 cited
  • 2019Path-Specific Counterfactual Fairness246 cited
  • 2018Fairness in Decision-Making — The Causal Explanation Formula202 cited
  • 2017When Worlds Collide: Integrating Different Counterfactual Assumptions in Fairness129 cited
  • 2020The philosophical basis of algorithmic recourse116 cited
  • 2018Causal Reasoning for Algorithmic Fairness74 cited
  • 2019Counterfactual Fairness: Unidentification, Bound and Algorithm73 cited

Cited by

  • 2023What-is and How-to for Fairness in Machine Learning: A Survey, Reflection, and Perspective30 cited

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

  • 2022Fairness in Agreement With European Values23 cited