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"

50 / 866 papers shown

Title
FAIntbench: A Holistic and Precise Benchmark for Bias Evaluation in Text-to-Image Models Hanjun Luo Ziye Deng Ruizhe Chen Zuo-Qiang Liu EGVM 246 10 0 28 May 2024
The Impossibility of Fair LLMs Jacy Reese Anthis Kristian Lum Michael Ekstrand Avi Feller Alexander D’Amour FaML 163 17 0 28 May 2024
Fairness-Accuracy Trade-Offs: A Causal Perspective Drago Plečko Elias Bareinboim 95 6 0 24 May 2024
Assessing Group Fairness with Social Welfare Optimization V. Chen J. N. Hooker Derek Leben 90 0 0 19 May 2024
Challenging the Human-in-the-loop in Algorithmic Decision-making Sebastian Tschiatschek Eugenia Stamboliev Timothée Schmude Mark Coeckelbergh Laura M. Koesten 124 1 0 17 May 2024
Trustworthy AI in practice: an analysis of practitioners' needs and challenges M. T. Baldassarre Domenico Gigante Marcos Kalinowski Azzurra Ragone Sara Tibidò 57 5 0 15 May 2024
Does Machine Bring in Extra Bias in Learning? Approximating Fairness in Models Promptly Yijun Bian Yujie Luo FaML 91 2 0 15 May 2024
What Can Natural Language Processing Do for Peer Review? Ilia Kuznetsov Osama Mohammed Afzal Koen Dercksen Nils Dycke Alexander Goldberg ... Jingyan Wang Xiaodan Zhu Anna Rogers Nihar B. Shah Iryna Gurevych 117 19 0 10 May 2024
Aequitas Flow: Streamlining Fair ML Experimentation Sérgio Jesus Pedro Saleiro Ines Oliveira e Silva Beatriz M. Jorge Rita P. Ribeiro João Gama P. Bizarro Rayid Ghani 67 4 0 09 May 2024
Differentially Private Post-Processing for Fair Regression Ruicheng Xian Qiaobo Li Gautam Kamath Han Zhao 121 4 0 07 May 2024
Fair Risk Control: A Generalized Framework for Calibrating Multi-group Fairness Risks Lujing Zhang Aaron Roth Linjun Zhang FaML 193 9 0 03 May 2024
Individual Fairness Through Reweighting and Tuning A. J. Mahamadou Lea Goetz Russ B. Altman 103 0 0 02 May 2024
Improving Intervention Efficacy via Concept Realignment in Concept Bottleneck Models Nishad Singhi Jae Myung Kim Karsten Roth Zeynep Akata 141 3 0 02 May 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 141 4 0 29 Apr 2024
Accounting for AI and Users Shaping One Another: The Role of Mathematical Models Sarah Dean Evan Dong Meena Jagadeesan Liu Leqi 96 12 0 18 Apr 2024
Utility-Fairness Trade-Offs and How to Find Them Sepehr Dehdashtian Bashir Sadeghi Vishnu Boddeti 104 9 0 15 Apr 2024
Enhancing Fairness and Performance in Machine Learning Models: A Multi-Task Learning Approach with Monte-Carlo Dropout and Pareto Optimality Khadija Zanna Akane Sano FaML 95 1 0 12 Apr 2024
An ExplainableFair Framework for Prediction of Substance Use Disorder Treatment Completion Mary M. Lucas Xiaoyang Wang Chia-Hsuan Chang Christopher C. Yang Jacqueline E. Braughton Quyen M. Ngo FaML 96 3 0 04 Apr 2024
Learning Social Fairness Preferences from Non-Expert Stakeholder Opinions in Kidney Placement Mukund Telukunta Sukruth Rao Gabriella Stickney Venkata Sriram Siddhardh Nadendla Casey Canfield 138 1 0 04 Apr 2024
Auditing the Use of Language Models to Guide Hiring Decisions Johann D. Gaebler Sharad Goel Aziz Huq Prasanna Tambe MLAU 102 14 0 03 Apr 2024
Addressing Both Statistical and Causal Gender Fairness in NLP Models Hannah Chen Yangfeng Ji David Evans 127 4 0 30 Mar 2024
The Pursuit of Fairness in Artificial Intelligence Models: A Survey Tahsin Alamgir Kheya Mohamed Reda Bouadjenek Sunil Aryal 120 15 0 26 Mar 2024
Public Perceptions of Fairness Metrics Across Borders Yuya Sasaki Sohei Tokuno Haruka Maeda Kazuki Nakajima Osamu Sakura G. Fletcher Mykola Pechenizkiy Panagiotis Karras Irina Shklovski 62 0 0 24 Mar 2024
FairerCLIP: Debiasing CLIP's Zero-Shot Predictions using Functions in RKHSs Sepehr Dehdashtian Lan Wang Vishnu Boddeti VLM 127 20 0 22 Mar 2024
Legally Binding but Unfair? Towards Assessing Fairness of Privacy Policies Vincent Freiberger Erik Buchmann AILaw 91 6 0 12 Mar 2024
Fairness Feedback Loops: Training on Synthetic Data Amplifies Bias Sierra Wyllie Ilia Shumailov Nicolas Papernot 113 39 0 12 Mar 2024
Balancing Fairness and Accuracy in Data-Restricted Binary Classification Zachary McBride Lazri Danial Dervovic Antigoni Polychroniadou Shubham Sharma Dana Dachman-Soled Min Wu FaML 133 0 0 12 Mar 2024
Fair Multivariate Adaptive Regression Splines for Ensuring Equity and Transparency Parian Haghighat Denisa Gándara Lulu Kang Hadis Anahideh 84 0 0 23 Feb 2024
Farsight: Fostering Responsible AI Awareness During AI Application Prototyping Zijie J. Wang Chinmay Kulkarni Lauren Wilcox Michael Terry Michael A. Madaio 132 61 0 23 Feb 2024
A Causal Framework to Evaluate Racial Bias in Law Enforcement Systems Jessy Xinyi Han Andrew Miller S. C. Watkins Christopher Winship Fotini Christia Devavrat Shah 64 1 0 22 Feb 2024
Fairness Risks for Group-conditionally Missing Demographics Kaiqi Jiang Wenzhe Fan Mao Li Xinhua Zhang 259 0 0 20 Feb 2024
Connecting Algorithmic Fairness to Quality Dimensions in Machine Learning in Official Statistics and Survey Production Patrick Oliver Schenk Christoph Kern FaML 123 2 0 14 Feb 2024
Assessing Generalization for Subpopulation Representative Modeling via In-Context Learning Gabriel Simmons Vladislav Savinov 72 2 0 12 Feb 2024
Unveiling Group-Specific Distributed Concept Drift: A Fairness Imperative in Federated Learning Teresa Salazar Joao Gama Helder Araújo Pedro Abreu FaML FedML 125 4 0 12 Feb 2024
Example-based Explanations for Random Forests using Machine Unlearning Tanmay Surve Romila Pradhan FaML FAtt 88 3 0 07 Feb 2024
Large Language Models are Geographically Biased Rohin Manvi Samar Khanna Marshall Burke David B. Lobell Stefano Ermon 153 64 0 05 Feb 2024
A Distributionally Robust Optimisation Approach to Fair Credit Scoring Pablo Casas Christophe Mues Huan Yu 65 0 0 02 Feb 2024
Trustworthy Distributed AI Systems: Robustness, Privacy, and Governance Wenqi Wei Ling Liu 153 26 0 02 Feb 2024
Fairness in Algorithmic Recourse Through the Lens of Substantive Equality of Opportunity Andrew Bell Joao Fonseca Carlo Abrate Francesco Bonchi Julia Stoyanovich FaML 155 4 0 29 Jan 2024
A Decision Theoretic Framework for Measuring AI Reliance Ziyang Guo Yifan Wu Jason D. Hartline Jessica Hullman 112 25 0 27 Jan 2024
Benchmarking the Fairness of Image Upsampling Methods M. Laszkiewicz Imant Daunhawer Julia E. Vogt Asja Fischer Johannes Lederer EGVM 120 4 0 24 Jan 2024
Falcon: Fair Active Learning using Multi-armed Bandits Ki Hyun Tae Hantian Zhang Jaeyoung Park Kexin Rong Steven Euijong Whang FaML 123 5 0 23 Jan 2024
Interventional Fairness on Partially Known Causal Graphs: A Constrained Optimization Approach Aoqi Zuo Yiqing Li Susan Wei Biwei Huang FaML 127 6 0 19 Jan 2024
Towards Engineering Fair and Equitable Software Systems for Managing Low-Altitude Airspace Authorizations Usman Gohar Michael C. Hunter Agnieszka Marczak-Czajka Robyn R. Lutz Myra B. Cohen Jane Cleland-Huang 57 3 0 14 Jan 2024
Fairness Certification for Natural Language Processing and Large Language Models Vincent Freiberger Erik Buchmann 121 2 0 02 Jan 2024
User Consented Federated Recommender System Against Personalized Attribute Inference Attack Qi Hu Yangqiu Song FedML 97 17 0 23 Dec 2023
Annotation-Free Group Robustness via Loss-Based Resampling Mahdi Ghaznavi Hesam Asadollahzadeh Hamidreza Yaghoubi Araghi Fahimeh Hosseini Noohdani M. Rohban M. Baghshah OOD 95 2 0 08 Dec 2023
A Brief Tutorial on Sample Size Calculations for Fairness Audits Harvineet Singh Fan Xia Mi-Ok Kim Romain Pirracchio R. Chunara Jean Feng 76 0 0 07 Dec 2023
On the Impact of Multi-dimensional Local Differential Privacy on Fairness K. Makhlouf Héber H. Arcolezi Sami Zhioua G. B. Brahim C. Palamidessi 116 8 0 07 Dec 2023
Detecting algorithmic bias in medical-AI models using trees Jeffrey Smith Andre L. Holder Rishikesan Kamaleswaran Yao Xie 150 1 0 05 Dec 2023