Why Fairness Cannot Be Automated: Bridging the Gap Between EU Non-Discrimination Law and AI

12 May 2020

Papers citing "Why Fairness Cannot Be Automated: Bridging the Gap Between EU Non-Discrimination Law and AI"

50 / 72 papers shown

Title
Critical Appraisal of Fairness Metrics in Clinical Predictive AI João Matos Ben Van Calster Leo Anthony Celi Paula Dhiman J. Gichoya R. Riley Chris Russell Sara Khalid Gary S. Collins 10 0 0 20 Jun 2025
Laypeople's Attitudes Towards Fair, Affirmative, and Discriminatory Decision-Making Algorithms Gabriel Lima Nina Grgic-Hlaca Markus Langer Yixin Zou FaML 85 0 0 12 May 2025
Engineering the Law-Machine Learning Translation Problem: Developing Legally Aligned Models Mathias Hanson Gregory Lewkowicz Sam Verboven AILaw ELM 141 1 0 23 Apr 2025
AutoPsyC: Automatic Recognition of Psychodynamic Conflicts from Semi-structured Interviews with Large Language Models Sayed Muddashir Hossain Simon Ostermann Patrick Gebhard Cord Benecke Josef van Genabith Philipp Müller 54 0 0 27 Mar 2025
Interpretable and Fair Mechanisms for Abstaining Classifiers Daphne Lenders Andrea Pugnana Roberto Pellungrini Toon Calders D. Pedreschi F. Giannotti FaML 143 1 0 24 Mar 2025
It's complicated. The relationship of algorithmic fairness and non-discrimination regulations for high-risk systems in the EU AI Act Kristof Meding FaML 141 2 0 22 Jan 2025
Establishing and Evaluating Trustworthy AI: Overview and Research Challenges Dominik Kowald S. Scher Viktoria Pammer-Schindler Peter Müllner Kerstin Waxnegger ... Andreas Truegler Eduardo E. Veas Roman Kern Tomislav Nad Simone Kopeinik 70 4 0 15 Nov 2024
Engineering Trustworthy AI: A Developer Guide for Empirical Risk Minimization Diana Pfau Alexander Jung 75 1 0 25 Oct 2024
Revisiting Technical Bias Mitigation Strategies Abdoul Jalil Djiberou Mahamadou Artem A. Trotsyuk 116 1 0 22 Oct 2024
Best Practices for Responsible Machine Learning in Credit Scoring Giovani Valdrighi Athyrson M. Ribeiro Jansen S. B. Pereira Vitoria Guardieiro Arthur Hendricks ... Juan David Nieto Garcia Felipe F. Bocca Thalita B. Veronese Lucas Wanner Marcos Medeiros Raimundo FaML 99 0 0 30 Sep 2024
Human-Data Interaction Framework: A Comprehensive Model for a Future Driven by Data and Humans Iván Durango J. A. Gallud V. Penichet 26 2 0 30 Jul 2024
Articulation Work and Tinkering for Fairness in Machine Learning Miriam Fahimi Mayra Russo Kristen M. Scott Maria-Esther Vidal Bettina Berendt K. Kinder-Kurlanda FaML 52 1 0 23 Jul 2024
AI for All: Identifying AI incidents Related to Diversity and Inclusion R. Shams Xinhe Li H. Momma 79 0 0 19 Jul 2024
NLPGuard: A Framework for Mitigating the Use of Protected Attributes by NLP Classifiers Salvatore Greco Ke Zhou L. Capra Tania Cerquitelli Daniele Quercia 58 3 0 01 Jul 2024
OxonFair: A Flexible Toolkit for Algorithmic Fairness Eoin Delaney Zihao Fu Sandra Wachter Brent Mittelstadt Chris Russell FaML 122 3 0 30 Jun 2024
Formalising Anti-Discrimination Law in Automated Decision Systems Holli Sargeant Måns Magnusson FaML 106 0 0 29 Jun 2024
Evaluating AI Group Fairness: a Fuzzy Logic Perspective Emmanouil Krasanakis Symeon Papadopoulos 71 0 0 27 Jun 2024
Cherry on the Cake: Fairness is NOT an Optimization Problem Marco Favier T. Calders 51 1 0 24 Jun 2024
Evaluation of Large Language Models: STEM education and Gender Stereotypes Smilla Due Sneha Das Marianne Andersen Berta Plandolit López Sniff Andersen Nexø Line Clemmensen 79 1 0 14 Jun 2024
Fairness-Aware Meta-Learning via Nash Bargaining Yi Zeng Xuelin Yang Li Chen Cristian Canton Ferrer Ming Jin Michael I. Jordan Ruoxi Jia 95 4 0 11 Jun 2024
Mapping the Potential of Explainable AI for Fairness Along the AI Lifecycle Luca Deck Astrid Schomacker Timo Speith Jakob Schöffer Lena Kästner Niklas Kühl 74 4 0 29 Apr 2024
FALE: Fairness-Aware ALE Plots for Auditing Bias in Subgroups G. Giannopoulos Dimitris Sacharidis Nikolas Theologitis Loukas Kavouras Ioannis Emiris 48 0 0 29 Apr 2024
Unlawful Proxy Discrimination: A Framework for Challenging Inherently Discriminatory Algorithms Hilde Weerts Aislinn Kelly-Lyth Reuben Binns Jeremias Adams-Prassl 59 2 0 22 Apr 2024
Implications of the AI Act for Non-Discrimination Law and Algorithmic Fairness Luca Deck Jan-Laurin Müller Conradin Braun Domenique Zipperling Niklas Kühl FaML 81 5 0 29 Mar 2024
How to be fair? A study of label and selection bias Marco Favier T. Calders Sam Pinxteren Jonathan Meyer 91 9 0 21 Mar 2024
Legally Binding but Unfair? Towards Assessing Fairness of Privacy Policies Vincent Freiberger Erik Buchmann AILaw 68 5 0 12 Mar 2024
From Graph to Word Bag: Introducing Domain Knowledge to Confusing Charge Prediction Ang Li Qiangchao Chen Yiquan Wu Ming Cai Xiang Zhou Leilei Gan Kun Kuang AILaw 58 5 0 07 Mar 2024
Algorithmic Arbitrariness in Content Moderation Juan Felipe Gomez Caio Vieira Machado Lucas Monteiro Paes Flavio du Pin Calmon 58 14 0 26 Feb 2024
XAI-CF -- Examining the Role of Explainable Artificial Intelligence in Cyber Forensics Shahid Alam Zeynep Altıparmak 68 3 0 04 Feb 2024
Reranking individuals: The effect of fair classification within-groups S. Goethals T. Calders FaML 84 1 0 24 Jan 2024
Tackling Bias in Pre-trained Language Models: Current Trends and Under-represented Societies Vithya Yogarajan Gillian Dobbie Te Taka Keegan R. Neuwirth ALM 92 13 0 03 Dec 2023
Large Language Models in Law: A Survey Jinqi Lai Wensheng Gan Jiayang Wu Zhenlian Qi Philip S. Yu ELM AILaw 115 91 0 26 Nov 2023
Fair Enough? A map of the current limitations of the requirements to have "fair" algorithms Alessandro Castelnovo Nicole Inverardi Gabriele Nanino Ilaria Giuseppina Penco D. Regoli FaML 73 3 0 21 Nov 2023
Kantian Deontology Meets AI Alignment: Towards Morally Grounded Fairness Metrics Carlos Mougan Joshua Brand 56 0 0 09 Nov 2023
On the Fairness ROAD: Robust Optimization for Adversarial Debiasing Vincent Grari Thibault Laugel Tatsunori Hashimoto Sylvain Lamprier Marcin Detyniecki 97 3 0 27 Oct 2023
fairret: a Framework for Differentiable Fairness Regularization Terms Maarten Buyl Marybeth Defrance T. D. Bie FedML 71 4 0 26 Oct 2023
Identifying Reasons for Bias: An Argumentation-Based Approach Madeleine Waller Odinaldo Rodrigues O. Cocarascu FaML 77 2 0 25 Oct 2023
Evaluating the Fairness of Discriminative Foundation Models in Computer Vision Junaid Ali Matthäus Kleindessner F. Wenzel Kailash Budhathoki Volkan Cevher Chris Russell VLM 114 12 0 18 Oct 2023
Fair Models in Credit: Intersectional Discrimination and the Amplification of Inequity S. Kim Stefan Lessmann G. Andreeva Michael Rovatsos FaML 64 5 0 01 Aug 2023
LUCID-GAN: Conditional Generative Models to Locate Unfairness Andres Algaba Carmen Mazijn Carina E. A. Prunkl J. Danckaert Vincent Ginis SyDa 95 1 0 28 Jul 2023
Fairness in KI-Systemen Janine Strotherm Alissa Müller Barbara Hammer Benjamin Paassen FaML 58 1 0 17 Jul 2023
Compatibility of Fairness Metrics with EU Non-Discrimination Laws: Demographic Parity & Conditional Demographic Disparity Lisa Koutsoviti Koumeri Magali Legast Yasaman Yousefi K. Vanhoof Axel Legay Christoph Schommer FaML 54 5 0 14 Jun 2023
The Flawed Foundations of Fair Machine Learning R. Poe Soumia Zohra El Mestari FaML 66 1 0 02 Jun 2023
Survey of Trustworthy AI: A Meta Decision of AI Caesar Wu Yuan-Fang Li Pascal Bouvry 107 3 0 01 Jun 2023
Disentangling and Operationalizing AI Fairness at LinkedIn Joaquin Quiñonero Candela Yuwen Wu Brian Hsu Sakshi Jain Jennifer Ramos Jon Adams R. Hallman Kinjal Basu 114 9 0 30 May 2023
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 69 25 0 05 May 2023
Fairness: from the ethical principle to the practice of Machine Learning development as an ongoing agreement with stakeholders Georgina Curto F. Comim FaML 23 1 0 22 Mar 2023
Can Fairness be Automated? Guidelines and Opportunities for Fairness-aware AutoML Hilde J. P. Weerts Florian Pfisterer Matthias Feurer Katharina Eggensperger Eddie Bergman Noor H. Awad Joaquin Vanschoren Mykola Pechenizkiy B. Bischl Frank Hutter FaML 100 19 0 15 Mar 2023
When mitigating bias is unfair: multiplicity and arbitrariness in algorithmic group fairness Natasa Krco Thibault Laugel Vincent Grari Jean-Michel Loubes Marcin Detyniecki 45 0 0 14 Feb 2023
Multi-dimensional discrimination in Law and Machine Learning -- A comparative overview Arjun Roy J. Horstmann Eirini Ntoutsi FaML 64 21 0 12 Feb 2023