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

Title
Understanding Machine Learning Practitioners' Data Documentation Perceptions, Needs, Challenges, and Desiderata A. Heger Elizabeth B. Marquis Mihaela Vorvoreanu Hanna M. Wallach J. W. Vaughan 148 69 0 06 Jun 2022
Distributive Justice as the Foundational Premise of Fair ML: Unification, Extension, and Interpretation of Group Fairness Metrics Joachim Baumann Corinna Hertweck M. Loi Christoph Heitz 169 11 0 06 Jun 2022
A Justice-Based Framework for the Analysis of Algorithmic Fairness-Utility Trade-Offs Corinna Hertweck Joachim Baumann M. Loi Eleonora Viganò Christoph Heitz FaML 149 5 0 06 Jun 2022
A Human-Centric Take on Model MonitoringAAAI Conference on Human Computation & Crowdsourcing (HCOMP), 2022 Murtuza N. Shergadwala Himabindu Lakkaraju K. Kenthapadi 166 16 0 06 Jun 2022
Enforcing Group Fairness in Algorithmic Decision Making: Utility Maximization Under SufficiencyConference on Fairness, Accountability and Transparency (FAccT), 2022 Joachim Baumann Anikó Hannák Christoph Heitz FaML 78 28 0 05 Jun 2022
(Im)possibility of Collective Intelligence Krikamol Muandet 397 6 0 05 Jun 2022
Towards Responsible AI: A Design Space Exploration of Human-Centered Artificial Intelligence User Interfaces to Investigate FairnessInternational journal of human computer interactions (IJHCI), 2022 Yuri Nakao Lorenzo Strappelli Simone Stumpf A. Naseer D. Regoli Giulia Del Gamba 104 35 0 01 Jun 2022
Social Bias Meets Data Bias: The Impacts of Labeling and Measurement Errors on Fairness CriteriaAAAI Conference on Artificial Intelligence (AAAI), 2022 Yiqiao Liao Parinaz Naghizadeh Ardabili 276 11 0 31 May 2022
Fairness Transferability Subject to Bounded Distribution ShiftNeural Information Processing Systems (NeurIPS), 2022 Yatong Chen Reilly P. Raab Jialu Wang Yang Liu 287 39 0 31 May 2022
Variable importance without impossible dataAnnual Review of Statistics and Its Application (ARSIA), 2022 Masayoshi Mase Art B. Owen Benjamin B. Seiler 120 8 0 31 May 2022
Certifying Some Distributional Fairness with Subpopulation DecompositionNeural Information Processing Systems (NeurIPS), 2022 Mintong Kang Linyi Li Maurice Weber Yang Liu Ce Zhang Yue Liu OOD 158 17 0 31 May 2022
Metrizing Fairness Yves Rychener Bahar Taşkesen Daniel Kuhn FaML 256 6 0 30 May 2022
Counterfactual Fairness with Partially Known Causal GraphNeural Information Processing Systems (NeurIPS), 2022 Aoqi Zuo Susan Wei Tongliang Liu Bo Han Kun Zhang Biwei Huang OOD FaML 148 22 0 27 May 2022
Fairness in Recommendation: Foundations, Methods and ApplicationsACM Transactions on Intelligent Systems and Technology (ACM TIST), 2022 Yunqi Li H. Chen Shuyuan Xu Yingqiang Ge Juntao Tan Shuchang Liu Zelong Li FaML OffRL 314 74 0 26 May 2022
Fair Representation Learning through Implicit Path AlignmentInternational Conference on Machine Learning (ICML), 2022 Changjian Shui Qi Chen Jiaqi Li Boyu Wang Christian Gagné 146 32 0 26 May 2022
Beyond Impossibility: Balancing Sufficiency, Separation and Accuracy Limor Gultchin Vincent Cohen-Addad Sophie Giffard-Roisin Varun Kanade Frederik Mallmann-Trenn 107 4 0 24 May 2022
Fairness in Recommender Systems: Research Landscape and Future Directions Yashar Deldjoo Dietmar Jannach Alejandro Bellogín Alessandro Difonzo Dario Zanzonelli OffRL FaML 249 125 0 23 May 2022
Measuring algorithmic interpretability: A human-learning-based framework and the corresponding cognitive complexity score John P. Lalor Hong Guo 58 1 0 20 May 2022
The Fairness of Credit Scoring ModelsSocial Science Research Network (SSRN), 2021 Christophe Hurlin C. Pérignon Sébastien Saurin FaML 136 33 0 20 May 2022
Survey on Fair Reinforcement Learning: Theory and Practice Pratik Gajane A. Saxena M. Tavakol George Fletcher Mykola Pechenizkiy FaML OffRL 223 18 0 20 May 2022
Multi-disciplinary fairness considerations in machine learning for clinical trialsConference on Fairness, Accountability and Transparency (FAccT), 2022 Isabel Chien Nina Deliu Richard Turner Adrian Weller S. Villar Niki Kilbertus FaML 108 26 0 18 May 2022
Accurate Fairness: Improving Individual Fairness without Trading AccuracyAAAI Conference on Artificial Intelligence (AAAI), 2022 Xuran Li Peng Wu Jing Su FaML 123 22 0 18 May 2022
Fair Bayes-Optimal Classifiers Under Predictive ParityNeural Information Processing Systems (NeurIPS), 2022 Xianli Zeng Guang Cheng Guang Cheng FaML 162 17 0 15 May 2022
Fairness and Explainability in Automatic Decision-Making Systems. A challenge for computer science and lawEURO Journal on Decision Processes (EJDP), 2022 Thierry Kirat Olivia Tambou Virginie Do A. Tsoukiás FaML 98 19 0 14 May 2022
Exploring How Machine Learning Practitioners (Try To) Use Fairness ToolkitsConference on Fairness, Accountability and Transparency (FAccT), 2022 Wesley Hanwen Deng Manish Nagireddy M. S. Lee Jatinder Singh Zhiwei Steven Wu Kenneth Holstein Haiyi Zhu 169 109 0 13 May 2022
"There Is Not Enough Information": On the Effects of Explanations on Perceptions of Informational Fairness and Trustworthiness in Automated Decision-MakingConference on Fairness, Accountability and Transparency (FAccT), 2022 Jakob Schoeffer Niklas Kuehl Yvette Machowski FaML 135 65 0 11 May 2022
Is calibration a fairness requirement? An argument from the point of view of moral philosophy and decision theoryConference on Fairness, Accountability and Transparency (FAccT), 2022 M. Loi Christoph Heitz FaML 152 15 0 11 May 2022
Evaluation Gaps in Machine Learning PracticeConference on Fairness, Accountability and Transparency (FAccT), 2022 Ben Hutchinson Negar Rostamzadeh Christina Greer Katherine A. Heller Vinodkumar Prabhakaran ELM 167 73 0 11 May 2022
Towards a multi-stakeholder value-based assessment framework for algorithmic systemsConference on Fairness, Accountability and Transparency (FAccT), 2022 Mireia Yurrita Dave Murray-Rust Agathe Balayn A. Bozzon MLAU 172 34 0 09 May 2022
The Road to Explainability is Paved with Bias: Measuring the Fairness of ExplanationsConference on Fairness, Accountability and Transparency (FAccT), 2022 Aparna Balagopalan Haoran Zhang Kimia Hamidieh Thomas Hartvigsen Frank Rudzicz Marzyeh Ghassemi 207 86 0 06 May 2022
fairlib: A Unified Framework for Assessing and Improving Classification Fairness Xudong Han Aili Shen Yitong Li Lea Frermann Timothy Baldwin Trevor Cohn VLM FaML 124 12 0 04 May 2022
A Human-Centric Perspective on Fairness and Transparency in Algorithmic Decision-Making Jakob Schoeffer FaML 120 4 0 29 Apr 2022
On the Relationship Between Explanations, Fairness Perceptions, and Decisions Jakob Schoeffer Maria De-Arteaga Niklas Kuehl FaML 150 7 0 27 Apr 2022
Spending Privacy Budget Fairly and Wisely Lucas Rosenblatt Joshua Allen Julia Stoyanovich 109 5 0 27 Apr 2022
Towards an Enhanced Understanding of Bias in Pre-trained Neural Language Models: A Survey with Special Emphasis on Affective Bias Anoop Kadan Manjary P.Gangan Deepak P L. LajishV. AI4CE 160 16 0 21 Apr 2022
The Equity Framework: Fairness Beyond Equalized Predictive Outcomes Keziah Naggita J. C. Aguma FaML 125 3 0 18 Apr 2022
Fair Algorithm Design: Fair and Efficacious Machine SchedulingAlgorithmic Game Theory (AGT), 2022 April Niu Agnes Totschnig A. Vetta FaML 93 3 0 13 Apr 2022
Marrying Fairness and Explainability in Supervised LearningConference on Fairness, Accountability and Transparency (FAccT), 2022 Przemyslaw A. Grabowicz Nicholas Perello Aarshee Mishra FaML 194 52 0 06 Apr 2022
Last Layer Re-Training is Sufficient for Robustness to Spurious CorrelationsInternational Conference on Learning Representations (ICLR), 2022 Polina Kirichenko Pavel Izmailov A. Wilson OOD 247 406 0 06 Apr 2022
FairNeuron: Improving Deep Neural Network Fairness with Adversary Games on Selective NeuronsInternational Conference on Software Engineering (ICSE), 2022 Xuanqi Gao Juan Zhai Shiqing Ma Chao Shen Yufei Chen Qianqian Wang 128 45 0 06 Apr 2022
Models and Mechanisms for Spatial Data FairnessProceedings of the VLDB Endowment (PVLDB), 2022 Sina shaham Gabriel Ghinita Cyrus Shahabi 200 10 0 04 Apr 2022
Addressing Missing Sources with Adversarial Support-Matching T. Kehrenberg Myles Bartlett V. Sharmanska Novi Quadrianto 71 1 0 24 Mar 2022
Is Fairness Only Metric Deep? Evaluating and Addressing Subgroup Gaps in Deep Metric LearningInternational Conference on Learning Representations (ICLR), 2022 Natalie Dullerud Karsten Roth Kimia Hamidieh Nicolas Papernot Marzyeh Ghassemi 158 16 0 23 Mar 2022
Improving the Fairness of Chest X-ray ClassifiersACM Conference on Health, Inference, and Learning (ACM CHIL), 2022 Haoran Zhang Natalie Dullerud Karsten Roth Lauren Oakden-Rayner Stephen Pfohl Marzyeh Ghassemi 168 87 0 23 Mar 2022
Representation Bias in Data: A Survey on Identification and Resolution TechniquesACM Computing Surveys (ACM CSUR), 2022 N. Shahbazi Yin Lin Abolfazl Asudeh H. V. Jagadish 204 104 0 22 Mar 2022
Repairing Regressors for Fair Binary Classification at Any Decision Threshold Kweku Kwegyir-Aggrey A. Feder Cooper Jessica Dai John P Dickerson Keegan E. Hines Suresh Venkatasubramanian FaML 197 8 0 14 Mar 2022
Towards Equal Opportunity Fairness through Adversarial Learning Xudong Han Timothy Baldwin Trevor Cohn FaML 109 11 0 12 Mar 2022
Evaluating Proposed Fairness Models for Face Recognition Algorithms John J. Howard Eli J. Laird Yevgeniy B. Sirotin Rebecca E. Rubin Jerry L. Tipton A. Vemury CVBM 106 27 0 09 Mar 2022
The Long Arc of Fairness: Formalisations and Ethical DiscourseConference on Fairness, Accountability and Transparency (FAccT), 2022 Pola Schwöbel Peter Remmers 109 19 0 08 Mar 2022
Judging the algorithm: A case study on the risk assessment tool for gender-based violence implemented in the Basque country Ana Valdivia Cari Hyde-Vaamonde Julián García-Marcos 39 2 0 01 Mar 2022