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Formalising Anti-Discrimination Law in Automated Decision Systems

29 June 2024

Papers citing "Formalising Anti-Discrimination Law in Automated Decision Systems"

35 / 35 papers shown

Title
Auditing of AI: Legal, Ethical and Technical Approaches Jakob Mokander 78 39 0 07 Jul 2024
Algorithmic Unfairness through the Lens of EU Non-Discrimination Law: Or Why the Law is not a Decision Tree Hilde J. P. Weerts Raphaële Xenidis Fabien Tarissan Henrik Palmer Olsen Mykola Pechenizkiy FaML 57 23 0 05 May 2023
Fairness through Aleatoric Uncertainty Anique Tahir Lu Cheng Huan Liu 70 13 0 07 Apr 2023
Counterfactual Situation Testing: Uncovering Discrimination under Fairness given the Difference Jose M. Alvarez Salvatore Ruggieri 52 13 0 23 Feb 2023
Causal Conceptions of Fairness and their Consequences H. Nilforoshan Johann D. Gaebler Ravi Shroff Sharad Goel FaML 174 46 0 12 Jul 2022
What is Proxy Discrimination? Michael Carl Tschantz 132 19 0 11 May 2022
Marrying Fairness and Explainability in Supervised Learning Przemyslaw A. Grabowicz Nicholas Perello Aarshee Mishra FaML 67 44 0 06 Apr 2022
The Fairness Field Guide: Perspectives from Social and Formal Sciences Alycia N. Carey Xintao Wu FaML 32 6 0 13 Jan 2022
A survey on datasets for fairness-aware machine learning Tai Le Quy Arjun Roy Vasileios Iosifidis Wenbin Zhang Eirini Ntoutsi FaML 82 249 0 01 Oct 2021
A Clarification of the Nuances in the Fairness Metrics Landscape Alessandro Castelnovo Riccardo Crupi Greta Greco D. Regoli Ilaria Giuseppina Penco A. Cosentini FaML 51 188 0 01 Jun 2021
Affirmative Algorithms: The Legal Grounds for Fairness as Awareness Daniel E. Ho Alice Xiang FaML 42 31 0 18 Dec 2020
Removing Spurious Features can Hurt Accuracy and Affect Groups Disproportionately Fereshte Khani Percy Liang FaML 59 66 0 07 Dec 2020
Fairness in Machine Learning: A Survey Simon Caton C. Haas FaML 102 645 0 04 Oct 2020
Algorithmic Decision Making with Conditional Fairness Renzhe Xu Peng Cui Kun Kuang Bo Li Linjun Zhou Zheyan Shen Wei Cui FaML 62 36 0 18 Jun 2020
What's Sex Got To Do With Fair Machine Learning? Lily Hu Issa Kohler-Hausmann FaML 46 81 0 02 Jun 2020
Why Fairness Cannot Be Automated: Bridging the Gap Between EU Non-Discrimination Law and AI Sandra Wachter Brent Mittelstadt Chris Russell FaML 59 282 0 12 May 2020
On the Apparent Conflict Between Individual and Group Fairness Reuben Binns FaML 68 312 0 14 Dec 2019
Measurement and Fairness Abigail Z. Jacobs Hanna M. Wallach 80 394 0 11 Dec 2019
Aleatoric and Epistemic Uncertainty in Machine Learning: An Introduction to Concepts and Methods Eyke Hüllermeier Willem Waegeman PER UD 244 1,421 0 21 Oct 2019
PC-Fairness: A Unified Framework for Measuring Causality-based Fairness Yongkai Wu Lu Zhang Xintao Wu Hanghang Tong FaML 109 118 0 20 Oct 2019
What does it mean to solve the problem of discrimination in hiring? Social, technical and legal perspectives from the UK on automated hiring systems Javier Sánchez-Monedero L. Dencik L. Edwards 72 137 0 28 Sep 2019
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 568 14 0 23 Aug 2019
Discrimination in the Age of Algorithms Jon M. Kleinberg J. Ludwig S. Mullainathan C. Sunstein FaML 39 326 0 11 Feb 2019
50 Years of Test (Un)fairness: Lessons for Machine Learning Ben Hutchinson Margaret Mitchell AILaw FaML 62 360 0 25 Nov 2018
A Moral Framework for Understanding of Fair ML through Economic Models of Equality of Opportunity Hoda Heidari M. Loi Krishna P. Gummadi Andreas Krause FaML 51 121 0 10 Sep 2018
A Unified Approach to Quantifying Algorithmic Unfairness: Measuring Individual & Group Unfairness via Inequality Indices Till Speicher Hoda Heidari Nina Grgic-Hlaca Krishna P. Gummadi Adish Singla Adrian Weller Muhammad Bilal Zafar FaML 71 264 0 02 Jul 2018
Blind Justice: Fairness with Encrypted Sensitive Attributes Niki Kilbertus Adria Gascon Matt J. Kusner Michael Veale Krishna P. Gummadi Adrian Weller 57 152 0 08 Jun 2018
Avoiding Discrimination through Causal Reasoning Niki Kilbertus Mateo Rojas-Carulla Giambattista Parascandolo Moritz Hardt Dominik Janzing Bernhard Schölkopf FaML CML 115 583 0 08 Jun 2017
Fairness in Criminal Justice Risk Assessments: The State of the Art R. Berk Hoda Heidari S. Jabbari Michael Kearns Aaron Roth 56 998 0 27 Mar 2017
Counterfactual Fairness Matt J. Kusner Joshua R. Loftus Chris Russell Ricardo M. A. Silva FaML 224 1,584 0 20 Mar 2017
A causal framework for discovering and removing direct and indirect discrimination Lu Zhang Yongkai Wu Xintao Wu CML 58 174 0 22 Nov 2016
Fairness Beyond Disparate Treatment & Disparate Impact: Learning Classification without Disparate Mistreatment Muhammad Bilal Zafar Isabel Valera Manuel Gomez Rodriguez Krishna P. Gummadi FaML 201 1,213 0 26 Oct 2016
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 300 2,120 0 24 Oct 2016
Equality of Opportunity in Supervised Learning Moritz Hardt Eric Price Nathan Srebro FaML 230 4,329 0 07 Oct 2016
Practical Bayesian model evaluation using leave-one-out cross-validation and WAIC Aki Vehtari Andrew Gelman Jonah Gabry 124 4,055 0 16 Jul 2015