The (Im)possibility of fairness: different value systems require different mechanisms for fair decision making
Friedler, Sorelle A., Scheidegger, Carlos, Venkatasubramanian, Suresh·2021·Communications of the ACM
DOI 10.1145/3433949
Cited by (262)
Items 101–200 of 262
- Cascaded Debiasing: Studying the Cumulative Effect of Multiple Fairness-Enhancing InterventionsBhavya Ghai, Mihir Mishra, Klaus D. Mueller · 2022 · ACM International Conference on Information and Knowledge Management (CIKM)
- Being Right for Whose Right Reasons?Terne Sasha Thorn Jakobsen, Laura Cabello, Anders Søgaard · 2023 · Proceedings of the conference - Association for Computational Linguistics. Meeting
- Forks over knives: Predictive inconsistency in criminal justice algorithmic risk assessment toolsGreene, Travis, Shmueli, Galit, Fell, Jan, Lin, Ching-Fu, Liu, Han-Wei · 2022 · Journal of the Royal Statistical Society Series A: Statistics in Society
- ACROCPoLis: A Descriptive Framework for Making Sense of FairnessAler Tubella, Andrea, Coelho Mollo, Dimitri, Dahlgren Lindström, Adam, Devinney, Hannah, Dignum, Virginia, Ericson, Petter, Jonsson, Anna, Kampik, Timotheus, Lenaerts, Tom, Mendez, Julian Alfredo et al. · 2023 · 2023 ACM Conference on Fairness Accountability and Transparency
- Introduction to Responsible AIRicardo A. Baeza-Yates · 2024 · ACM International Conference on Web Search and Data Mining (WSDM)
- Artificial Intelligence and Machine Learning in Precision Health: An Overview of Methods, Challenges, and Future DirectionsRachel Bennett, Mehdi Hemmati, Rajagopal Ramesh, Talayeh Razzaghi · 2024 · Springer optimization and its applications
- It's only fair when I think it's fair: How Gender Bias Alignment Undermines Distributive Fairness in Human-AI CollaborationDomenique Zipperling, Luca Deck, Julia Lanzl, Niklas Kühl · 2025 · ACM Conference on Fairness, Accountability, and Transparency (FAccT)
- An Epistemic Lens on Algorithmic FairnessElizabeth Edenberg, Alexandra Wood · 2023 · ACM Conference on Equity and Access in Algorithms, Mechanisms, and Optimization (EAAMO)
- On the trade-off between ranking effectiveness and fairnessMassimo Melucci · 2023 · Expert Systems with Applications
- Atomist or holist? A diagnosis and vision for more productive interdisciplinary AI ethics dialogueTravis Greene, Amit Dhurandhar, Galit Shmueli A · 2022 · Patterns
- Not So Fair: The Impact of Presumably Fair Machine Learning ModelsMackenzie Jorgensen, Hannah Richert, Elizabeth Black, Natalia Criado, José M. Such · 2023 · Proceedings of the AAAI/ACM Conference on AI Ethics and Society
- Fairness: plurality, causality, and insurabilityMatthias Fahrenwaldt, Christian Furrer, Munir Hiabu, Fei Huang, Frederik Hytting Jørgensen, Mathias Lindholm, Joshua R. Loftus, Mogens Steffensen, Andreas Tsanakas · 2024 · European Actuarial Journal
- Fairness at Equilibrium in the Labor MarketLily J. Hu, Yiling Chen · 2017 · arXiv (Cornell University)
- Using Self-supervised Learning Can Improve Model FairnessSofia Yfantidou, Dimitris Spathis, Marios Constantinides, Athena I. Vakali, Daniele Quercia, Fahim Kawsar · 2024 · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)
- Unleashing collective intelligence for public decision-making: the Data for Policy communityZeynep Engin, Emily Gardner, Andrew Hyde, Stefaan Verhulst, Jon Crowcroft · 2024 · Data & Policy
- Structural Interventions and the Dynamics of InequalityAurora Zhang, Anette E. Hosoi · 2024 · ACM Conference on Fairness, Accountability, and Transparency (FAccT)
- Properties of Group Fairness Measures for RankingsTobias Schumacher, Marlene Lutz, Sandipan Sikdar, M. Strohmaier · 2022 · ACM Transactions on Social Computing
- The Limitations of Data, Machine Learning and UsR. Baeza-Yates · 2024 · SIGMOD Conference Companion
- Fairness and Explanations in Entity Resolution: An OverviewTiago Brasileiro Araújo, Vasilis Efthymiou, Kostas Stefanidis · 2025 · IEEE Access
- Authenticity and exclusion: a simulation study of how social media algorithms shape visibility in epistemic communitiesNil-Jana Akpinar, Sina Fazelpour · 2025 · Synthese
- AI on the path to good decisionsMindaugas Kiškis · 2026 · Sustainable Futures
- Equitable Top-k Results for Long Tail DataMd Mouinul Islam, Mahsa Asadi, Senjuti Basu Roy · 2023 · Proceedings of the ACM on Management of Data
- Hierarchical Dependencies in Classroom Settings Influence Algorithmic Bias MetricsClara Belitz, HaeJin Lee, Nidhi Nasiar, Stephen E. Fancsali, Steve Ritter, Husni Almoubayyed, Ryan S. Baker, Jaclyn L. Ocumpaugh, Nigel Bosch · 2024 · International Conference on Learning Analytics and Knowledge (LAK)
- Beyond aversion – principles of appropriate algorithmic decision-making in human resource managementStefan Strohmeier, Mathias Becker, Ellen Scheer-Weller · 2025 · Expert Systems with Applications
- Do Crowdsourced Fairness Preferences Correlate with Risk Perceptions?Chowdhury Mohammad Rakin Haider, Christopher W. Clifton, Ming Yin · 2024 · ACM International Conference on Intelligent User Interfaces (IUI)
- Recommendation Fairness: From Static to DynamicDell Zhang, Jun Wang · 2021 · arXiv (Cornell University)
- Multi-Objective Fairness in Team AssemblyRodrigo Borges, Otto Sahlgren, Sami Koivunen, Kostas Stefanidis, Thomas Olsson, Arto Laitinen · 2023 · Communications in computer and information science
- Can machine learning make naturalism about health truly naturalistic? A reflection on a data-driven concept of healthAriel Guersenzvaig · 2023 · Ethics and Information Technology
- On Hedden's proof that machine learning fairness metrics are flawedAnders Søgaard, Klemens Kappel, Thor Grünbaum · 2024 · Inquiry
- A model of the relationship between the variations of effectiveness and fairness in information retrievalM. Melucci · 2024 · Discover Computing
- Towards Transnational Fairness in Machine Learning: A Case Study in Disaster Response SystemsCem Kozcuer, Anne Mollen, Felix Bießmann · 2024 · Minds and Machines
- Exploring Visualization for Fairness in AI EducationXinyuan Yan, Youjia Zhou, Arul Mishra, Himanshu Mishra, Bei Wang · 2024 · IEEE Pacific Visualization Conference (PacificVis)
- Cross-model Fairness: Empirical Study of Fairness and Ethics Under Model MultiplicityKacper Sokol, Meelis Kull, Jeffrey Chan, Flora Dilys Salim · 2024 · ACM Journal on Responsible Computing
- Investigating and Mitigating the Performance–Fairness Tradeoff via Protected-Category SamplingGideon Popoola, John W. Sheppard · 2024 · Electronics
- Conversational SearchJohanne R. Trippas · 2024 · ACM eBooks
- FairPlay: A Collaborative Approach to Mitigate Bias in Datasets for Improved AI FairnessTina Behzad, Mithilesh Kumar Singh, Anthony J. Ripa, Klaus D. Mueller · 2025 · Proceedings of the ACM on Human-Computer Interaction
- An Algorithmic Framework for Positive ActionOliver Thomas, Miri Zilka, Adrian Weller, Novi Quadrianto · 2021 · ACM Conference on Equity and Access in Algorithms, Mechanisms, and Optimization (EAAMO)
- Opportunities and challenges of multidisciplinary algorithmic impact assessmentsJuana Catalina Becerra Sandoval, Felicia S. Jing, Adriana Alvarado Garcia, Sara Berger, Heloisa Caroline de Souza Pereira Candello, Caitlin Lustig · 2025 · Journal of Responsible Innovation
- AI governance and ethical frameworks for public-sector AI decision systems: an institutional operationalisation modelAdeyinka G. Ologun, Ogechi M. Ikeakaonwu, Abiodun F Ibidunmoye, Grace A. Eneano, Chijioke C. Chuwa, Lukman Owolabi Kolawole · 2026 · AI and Ethics
- Discrimination for the sake of fairness by design and its legal frameworkHolly Hoch, Corinna Hertweck, Michele Loi, Aurelia Tamò‐Larrieux · 2024 · Computer law & security review
- Measuring gender bias in student satisfaction in higher education: a cross-department studyFrancielle Marques, Davinia Hernández‐Leo, Carlos Castillo · 2024 · Cogent Education
- Preference eigensystems for fair rankingMassimo Melucci · 2025 · Expert systems with applications
- “Even When Success Seems Impossible, I Keep Streaming”: How Do Chinese Elderly Streamers Interact with Platform Algorithmic (In)visibilityJunxiang Liao, Zheng Wei, Zeyu Yang, Xian Xu, Pan Hui, Changyang He, Muzhi Zhou · 2025 · CHI Conference on Human Factors in Computing Systems
- Cherry on the cake: fairness is NOT an optimization problemMarco Favier, Toon Calders · 2025 · Machine Learning
- The Algorithmic Construction of Epistemic InjusticeTomás McInerney · 2025 · Palgrave socio-legal studies
- Fair Empirical Risk Minimization RevisedDanilo Franco, Luca Oneto, Davide Anguita · 2023 · Lecture notes in computer science
- The Conflict Between Algorithmic Fairness and Non-Discrimination: An Analysis of Fair Automated HiringRobert Lee Poe, Soumia Zohra El Mestari · 2024 · ACM Conference on Fairness, Accountability, and Transparency (FAccT)
- Taming the AI Monster: Monitoring of Individual Fairness for Effective Human OversightKevin L. Baum, Sebastian Biewer, Holger Hermanns, Sven Hetmank, Markus Langer, Anne Lauber-Rönsberg, Sarah Sterz · 2024 · Lecture notes in computer science
- FACEGroup: Feasible and Actionable Counterfactual Explanations for Group FairnessChristos Fragkathoulas, Vasiliki Papanikou, Evaggelia Pitoura, Evimaria Terzi · 2025 · Lecture notes in computer science
- Gamified Text Testing for Sustainable FairnessSavaş Takan, Duygu Ergün, Gökmen Katipoğlu · 2023 · Sustainability
- Algorithmic Decision-making in Financial Services: Economic and Normative Outcomes in Consumer CreditHolli Sargeant · 2023 · SSRN Electronic Journal
- Sampling a Near Neighbor in High DimensionsMartin Aumüller, Sariel Har-Peled, Sepideh Mahabadi, Rasmus Pagh, Francesco Silvestri · 2022 · Research at the University of Copenhagen (University of Copenhagen)
- Preprocessing Matters: Automated Pipeline Selection for Fair ClassificationVladimiro González-Zelaya, Julián Salas, Dennis Prangle, Paolo Missier · 2023 · Lecture notes in computer science
- Justicia algorítmica: un enfoque sociotécnicoAndrea Bravo Bolado · 2023 · Estudios Penales y Criminológicos
- Bias Amplification to Facilitate the Systematic Evaluation of Bias Mitigation MethodsAlexis Burgon, Yuhang Zhang, Nicholas Petrick, Berkman Sahiner, H. Kenny, Ravi K. Samala · 2024 · IEEE Journal of Biomedical and Health Informatics
- Temporal Extraction and RetrievalOmar Alonso, Marc Spaniol · 2024 · ACM eBooks
- Neural Information RetrievalNicola Tonellotto · 2024 · ACM eBooks
- Fairness in Machine Learning: A Survey Part 1Karen Roberts-Licklider, Theodore B. Trafali̇s · 2025 · Lecture notes in computer science
- Practitioners and Bias in Machine Learning: A StudyRobert Cinca, Enrico Costanza, Mirco Musolesi · 2025 · ACM Trans. Interact. Intell. Syst.
- The Multifaced Nature of Bias in AI: Impact on Model Generalization, Robustness, and FairnessEirini Ntoutsi · 2025 · Springer eBooks
- Your Model Is Unfair, Are You Even Aware? Inverse Relationship Between Comprehension and Trust in Explainability Visualizations of Biased ML ModelsZhanna Kaufman, M. Endres, Cindy Xiong, Yuriy Brun · 2025 · IEEE Transactions on Visualization and Computer Graphics
- Algorithmic bias: Looking beyond data bias to ensure algorithmic accountability and equityS. J. Thais, Hannah Shumway, Austin Saragih · 2023 · MIT Science Policy Review
- Locating disparities in machine learningMoritz von Zahn, Oliver Fast Hinz, Stefan Feuerriegel · 2023 · IEEE International Conference on Big Data (BigData)
- A Canonical Data Transformation for Achieving Inter- and Within-Group FairnessZachary McBride Lazri, Ivan Brugere, Xin Tian, Dana Dachman-Soled, Antigoni Polychroniadou, Danial Dervovic, Min Hua Wu · 2024 · IEEE Transactions on Information Forensics and Security
- Algorithmic models through a representational lensDaan Kolkman, Gijs van Maanen · 2024 · The Information Society
- Professional SearchSuzan Verberne · 2024 · ACM eBooks
- Evaluation of IR SystemsNicola Ferro, Maria Maistro · 2024 · ACM eBooks
- Privacy in Information RetrievalIan M. Soboroff · 2024 · ACM eBooks
- A New Reinforcement Learning-Based Framework for Unbiased Autonomous Software SystemsIsmail Abiodun Sulaimon, Ahmed Ghoneim, Mubarak Rashed Alrashoud · 2019 · International Conference on Modeling, Simulation, and Applied Optimization
- Proposing an Interactive Audit Pipeline for Visual Privacy ResearchJasmine DeHart, Chenguang Xu, Christan Grant, Lisa Egede · 2021 · IEEE International Conference on Big Data (BigData)
- Analysing Fairness of Privacy-Utility Mobility ModelsYuting Zhan, Hamed Haddadi, Afra Mashhadi · 2023 · ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp)
- Investigating the Legality of Bias Mitigation Methods in the United KingdomMackenzie Jorgensen, Madeleine Waller, Oana Cocarascu, Natalia Criado, Odinaldo Rodrigues, José M. Such, Elizabeth Black · 2023 · IEEE Technology and Society Magazine
- Bureaucratic routines and error management in algorithmic systemsJuho Pääkkönen · 2021 · Hallinnon Tutkimus
- Inflorescence: A Framework for Evaluating Fairness with Clustered Federated LearningAlex Kyllo, Afra Mashhadi · 2023 · ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp)
- eCommerce Search and DiscoverySurya Teja Kallumadi, Tracy Holloway King · 2024 · ACM eBooks
- Multi-Value Alignment for Ml/Ai Development ChoicesHetvi Jethwani, Anna C. F. Lewis · 2025 · American Philosophical Quarterly
- A Framework for Measuring and Benchmarking Fairness of Generative Crowd-Flow ModelsJiaqi He, Apoorva Sheera, J. M. McFarland, Feiyang Wang, Manurag Khullar, Sakshi Chavan, Bernease Herman, Ekin Uğurel, Afra Mashhadi · 2025 · ACM Journal on Computing and Sustainable Societies
- Synthetic data as meaningful data. On Responsibility in data ecosystemsMarianna Capasso · 2025 · Big Data & Society
- How Much Effort Is Enough? Fairness in Algorithmic Recourse Through the Lens of Substantive Equality of OpportunityAndrew S Bell, João Fonseca, Carlo Abrate, Francesco Bonchi, Julia Stoyanovich · 2025 · ACM Conference on Equity and Access in Algorithms, Mechanisms, and Optimization (EAAMO)
- MMM-fair: An Interactive Toolkit for Exploring and Operationalizing Multi-Fairness Trade-offsSwati Swati, Arjun G. Roy, Emmanouil Panagiotou, Eirini Ntoutsi · 2025 · ACM International Conference on Information and Knowledge Management (CIKM)
- Asymmetric impacts of artificial intelligence on housing price valuation across education levelsSihyun An, Yena Song, Hanwool Jang, Kwangwon Ahn · 2025 · Humanities and Social Sciences Communications
- On Explaining Proxy Discrimination and Unfairness in Individual Decisions Made by AI SystemsBelona Sonna, Alban Grastien · 2025 · Lecture notes in computer science
- A speculative realist typology of AI fairness: an Object-Oriented Onto-EthicsAbdullah Muhammad Dhrubo, Awais Ahmed Brohi · 2026 · AI and Ethics
- Differential validity in fair lendingSpencer Caro, Talia Gillis, Scott Nelson · 2025 · The Journal of Legal Analysis
- Fairness in Student Group Formation: Perspectives, Priorities, Compromises, Mechanisms, and ToolingMatthew Forshaw, Cristina Alexandru, Caitlin Bentley, Vladimiro González-Zelaya, Vangel V. Ajanovski, Mireilla Bikanga Ada, Julian Brooks, Joshua Burridge, Alex Chao, Rutwa Engineer et al. · 2025 · ACM Conference on Innovation and Technology in Computer Science Education (ITiCSE)
- Facial analysis AI as social pseudotechnologyPäivi Seppälä, Ilmari Hirvonen · 2026 · European Journal for Philosophy of Science
- An Ontology for Reasoning About Fairness in Regression and Machine LearningJade S. Franklin, Hannah Powers, John S. Erickson, Jamie Patricia McCusker, Deborah L. McGuinness, Kristin P. Bennett · 2023 · Lecture notes in computer science
- Measuring BiasAida Sharif Rohani, Ricardo A. Baeza-Yates · 2023 · BigData Congress [Services Society]
- Assessing Group Fairness with Social Welfare OptimizationViolet Chen, J. N. Hooker, Derek Leben · 2024 · Lecture notes in computer science
- Cross-language RetrievalPetra Galuščáková, Douglas W. Oard, Suraj Nair · 2024 · ACM eBooks
- Audio-based Music RetrievalEmilia Gómez, Helena Cuesta, Aggelos Gkiokas, Juan Sebastián Gómez-Cañón, Lorenzo Porcaro, Furkan Yesiler · 2024 · ACM eBooks
- Bias in Retrieval SystemsRicardo A. Baeza-Yates, Leena Murgai, Shiran Dudy · 2024 · ACM eBooks
- HIFI: Explaining and Mitigating Algorithmic Bias Through the Lens of Game-Theoretic InteractionsLingfeng Zhang, Zhaohui Wang, Yueling Zhang, Min Zhang, Jiangtao Wang · 2025 · ACM/IEEE International Conference on Software Engineering: Companion Proceedings (ICSE-Companion)
- Responsible Data ScienceLaura Igual, Santi Seguí · 2024 · Undergraduate topics in computer science
- Discrimination for the Sake of Fairness: Fairness by Design and Its Legal FrameworkHolly Hoch, Corinna Hertweck, Michele Loi, Aurelia Tamò‐Larrieux · 2021 · SSRN Electronic Journal
- BEAT Unintended Bias in Personalized PoliciesEva Ascarza, Ayelet Israeli · 2021 · SSRN Electronic Journal
- Multiversal Simulacra: Understanding Hypotheticals and Possible Worlds Through SimulationMichael D. Ekstrand · 2021 · arXiv (Cornell University)
- On Prediction-Modelers and Decision-Makers: Why Fairness Requires More Than a Fair Prediction ModelTeresa Scantamburlo, Joachim Baumann, Christoph Heitz · 2023 · arXiv (Cornell University)
- Underdiagnosis Bias of Chest Radiograph Diagnostic AI can be Decomposed and Mitigated via Dataset Bias AttributionsYuta Kobayashi, Haoran Zhang, Harvineet Singh, Judy Wawira Gichoya, Shalmali D. Joshi · 2024 · medRxiv
- Auditing Algorithmic Medical Systems to Uncover AI Harms and Remedy Racial InjusticeMeredith Broussard · 2025 · Oxford University Press eBooks