Fair prediction with disparate impact: A study of bias in recidivism prediction instruments

24 October 2016

Papers citing "Fair prediction with disparate impact: A study of bias in recidivism prediction instruments"

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Title
Simple data balancing achieves competitive worst-group-accuracy Badr Youbi Idrissi Martín Arjovsky Mohammad Pezeshki David Lopez-Paz 285 202 0 27 Oct 2021
Unbiased Graph Embedding with Biased Graph Observations Nan Wang Lu Lin Jundong Li Hongning Wang CML 192 45 0 26 Oct 2021
Debiasing Credit Scoring using Evolutionary Algorithms Nigel Kingsman 69 2 0 25 Oct 2021
Mechanistic Interpretation of Machine Learning Inference: A Fuzzy Feature Importance Fusion Approach D. Rengasamy J. M. Mase Mercedes Torres Torres Benjamin Rothwell David A. Winkler Grazziela Figueredo FAtt 56 2 0 22 Oct 2021
fairadapt: Causal Reasoning for Fair Data Pre-processing Drago Plečko Nicolas Bennett N. Meinshausen FaML 63 16 0 19 Oct 2021
Unpacking the Black Box: Regulating Algorithmic Decisions Laura Blattner Scott Nelson Jann Spiess MLAU FaML 143 19 0 05 Oct 2021
Trustworthy AI: From Principles to Practices Yue Liu Peng Qi Bo Liu Shuai Di Jingen Liu Jiquan Pei Jinfeng Yi Bowen Zhou 347 483 0 04 Oct 2021
Consider the Alternatives: Navigating Fairness-Accuracy Tradeoffs via Disqualification G. Rothblum G. Yona FaML 124 2 0 02 Oct 2021
A survey on datasets for fairness-aware machine learning Tai Le Quy Arjun Roy Vasileios Iosifidis Wenbin Zhang Eirini Ntoutsi FaML 271 315 0 01 Oct 2021
A Sociotechnical View of Algorithmic FairnessInformation Systems Journal (ISJ), 2021 Mateusz Dolata Stefan Feuerriegel Gerhard Schwabe FaML 131 115 0 27 Sep 2021
Equality of opportunity in travel behavior prediction with deep neural networks and discrete choice modelsTransportation Research Part C: Emerging Technologies (TRC), 2021 Yunhan Zheng Shenhao Wang Jinhuan Zhao HAI 138 35 0 25 Sep 2021
Toward a Fairness-Aware Scoring System for Algorithmic Decision-Making Yi Yang Ying Nian Wu Mei Li Xiangyu Chang Yong Tan FaML 131 0 0 21 Sep 2021
Identifying biases in legal data: An algorithmic fairness perspective J. Sargent Melanie Weber FaML 116 7 0 21 Sep 2021
Finding Representative Group Fairness Metrics Using Correlation Estimations Hadis Anahideh Nazanin Nezami Abolfazl Asudeh 125 1 0 13 Sep 2021
Feature-based Individual Fairness in k-ClusteringAdaptive Agents and Multi-Agent Systems (AAMAS), 2021 Debajyoti Kar Mert Kosan Debmalya Mandal Sourav Medya A. Silva P. Dey Swagato Sanyal FaML 186 12 0 09 Sep 2021
Gradual (In)Compatibility of Fairness CriteriaAAAI Conference on Artificial Intelligence (AAAI), 2021 Corinna Hertweck T. Raz 192 14 0 09 Sep 2021
A Systematic Approach to Group Fairness in Automated Decision MakingSwiss Conference on Data Science (SDS), 2021 Corinna Hertweck Christoph Heitz FaML 70 3 0 09 Sep 2021
On Characterizing the Trade-off in Invariant Representation Learning Bashir Sadeghi Sepehr Dehdashtian Vishnu Boddeti 167 11 0 08 Sep 2021
Amazon SageMaker Clarify: Machine Learning Bias Detection and Explainability in the CloudKnowledge Discovery and Data Mining (KDD), 2021 Michaela Hardt Xiaoguang Chen Xiaoyi Cheng Michele Donini J. Gelman ... Muhammad Bilal Zafar Sanjiv Ranjan Das Kevin Haas Tyler Hill K. Kenthapadi ELM FaML 96 49 0 07 Sep 2021
F3: Fair and Federated Face Attribute Classification with Heterogeneous DataPacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2021 Samhita Kanaparthy Manisha Padala Sankarshan Damle Ravi Kiran Sarvadevabhatla Sujit Gujar CVBM 154 3 0 06 Sep 2021
TabFairGAN: Fair Tabular Data Generation with Generative Adversarial Networks Amirarsalan Rajabi O. Garibay GAN 111 63 0 02 Sep 2021
Fair Representation: Guaranteeing Approximate Multiple Group Fairness for Unknown TasksIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021 Xudong Shen Yongkang Wong Mohan S. Kankanhalli FaML 177 23 0 01 Sep 2021
FADE: FAir Double Ensemble Learning for Observable and Counterfactual OutcomesConference on Fairness, Accountability and Transparency (FAccT), 2021 Alan Mishler Edward H. Kennedy FaML 159 23 0 01 Sep 2021
Towards Out-Of-Distribution Generalization: A Survey Tianyu Wang Zheyan Shen Yue He Xingxuan Zhang Renzhe Xu Han Yu Peng Cui CML OOD 340 611 0 31 Aug 2021
A comparison of approaches to improve worst-case predictive model performance over patient subpopulationsScientific Reports (Sci Rep), 2021 Stephen Pfohl Haoran Zhang Yizhe Xu Agata Foryciarz Marzyeh Ghassemi N. Shah OOD 167 24 0 27 Aug 2021
Federated Learning Meets Fairness and Differential PrivacyInternational Conference on Neural Information Processing (ICONIP), 2021 P. Manisha Sankarshan Damle Sujit Gujar FedML 113 21 0 23 Aug 2021
A fuzzy-rough uncertainty measure to discover bias encoded explicitly or implicitly in features of structured pattern classification datasets Gonzalo Nápoles Lisa Koutsoviti Koumeri 121 17 0 20 Aug 2021
Understanding and Mitigating Annotation Bias in Facial Expression Recognition Yunliang Chen Jungseock Joo CVBM 137 100 0 19 Aug 2021
Appropriate Fairness Perceptions? On the Effectiveness of Explanations in Enabling People to Assess the Fairness of Automated Decision Systems Jakob Schoeffer Niklas Kuehl 102 26 0 14 Aug 2021
Fairness Through Counterfactual UtilitiesJournal of Artificial Intelligence Research (JAIR), 2021 Jack Blandin Ian A. Kash FaML 185 2 0 11 Aug 2021
Retiring Adult: New Datasets for Fair Machine LearningNeural Information Processing Systems (NeurIPS), 2021 Frances Ding Moritz Hardt John Miller Ludwig Schmidt 394 528 0 10 Aug 2021
Responsible and Regulatory Conform Machine Learning for Medicine: A Survey of Challenges and SolutionsIEEE Access (IEEE Access), 2021 Eike Petersen Yannik Potdevin Esfandiar Mohammadi Stephan Zidowitz Sabrina Breyer ... Sandra Henn Ludwig Pechmann M. Leucker P. Rostalski Christian Herzog FaML AILaw OOD 197 32 0 20 Jul 2021
Diversity in Sociotechnical Machine Learning SystemsBig Data & Society (BDS), 2021 S. Fazelpour Maria De-Arteaga 132 43 0 19 Jul 2021
A Survey on Bias in Visual DatasetsComputer Vision and Image Understanding (CVIU), 2021 Simone Fabbrizzi Symeon Papadopoulos Eirini Ntoutsi Y. Kompatsiaris 304 150 0 16 Jul 2021
On the impossibility of non-trivial accuracy under fairness constraints Carlos Pinzón C. Palamidessi Pablo Piantanida Frank D. Valencia FaML 140 2 0 14 Jul 2021
Can Less be More? When Increasing-to-Balancing Label Noise Rates Considered Beneficial Yang Liu Jialu Wang NoLa 133 20 0 13 Jul 2021
Trustworthy AI: A Computational Perspective Haochen Liu Yiqi Wang Wenqi Fan Xiaorui Liu Yaxin Li Shaili Jain Yunhao Liu Anil K. Jain Shucheng Zhou FaML 292 244 0 12 Jul 2021
Escaping the Impossibility of Fairness: From Formal to Substantive Algorithmic FairnessPhilosophy & Technology (Philos. Technol.), 2021 Ben Green FaML 263 40 0 09 Jul 2021
Multiaccurate Proxies for Downstream FairnessConference on Fairness, Accountability and Transparency (FAccT), 2021 Emily Diana Wesley Gill Michael Kearns K. Kenthapadi Aaron Roth Saeed Sharifi-Malvajerdi 170 23 0 09 Jul 2021
Fair Decision Rules for Binary Classification Connor Lawless Oktay Gunluk FaML 90 6 0 03 Jul 2021
The Price of Diversity H. Bandi Dimitris Bertsimas 81 0 0 03 Jul 2021
Non-Comparative Fairness for Human-Auditing and Its Relation to Traditional Fairness Notions Mukund Telukunta Venkata Sriram Siddhardh Nadendla 60 0 0 29 Jun 2021
"Part Man, Part Machine, All Cop": Automation in Policing Angelika Adensamer Lukas Daniel Klausner 45 10 0 24 Jun 2021
A Unified Approach to Fair Online Learning via Blackwell Approachability Evgenii Chzhen Christophe Giraud Jean-Michel Poggi FaML 94 12 0 23 Jun 2021
Algorithmic Recourse in Partially and Fully Confounded Settings Through Bounding Counterfactual Effects Julius von Kügelgen N. Agarwal Jakob Zeitler Afsaneh Mastouri Bernhard Schölkopf CML 109 2 0 22 Jun 2021
Algorithmic Bias and Data Bias: Understanding the Relation between Distributionally Robust Optimization and Data Curation Agnieszka Słowik Léon Bottou FaML 127 20 0 17 Jun 2021
Fairness as Equality of Opportunity: Normative Guidance from Political Philosophy Falaah Arif Khan Eleni Manis Julia Stoyanovich FaML 70 10 0 15 Jun 2021
Characterizing the risk of fairwashingNeural Information Processing Systems (NeurIPS), 2021 Ulrich Aïvodji Hiromi Arai Sébastien Gambs Satoshi Hara 142 29 0 14 Jun 2021
Assessing Multilingual Fairness in Pre-trained Multimodal RepresentationsFindings (Findings), 2021 Jialu Wang Yang Liu Xinze Wang EGVM 168 41 0 12 Jun 2021
Probability Paths and the Structure of Predictions over TimeNeural Information Processing Systems (NeurIPS), 2021 Zhiyuan Jerry Lin Hao Sheng Sharad Goel 111 2 0 11 Jun 2021