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 / 884 papers shown

Title
Enhancing Fairness through Reweighting: A Path to Attain the Sufficiency RuleEuropean Conference on Artificial Intelligence (ECAI), 2024 Xuan Zhao Klaus Broelemann Salvatore Ruggieri Gjergji Kasneci 204 1 0 26 Aug 2024
Ensuring Fairness with Transparent Auditing of Quantitative Bias in AI Systems Chih-Cheng Rex Yuan Bow-Yaw Wang 103 4 0 24 Aug 2024
Fairness-Aware Streaming Feature Selection with Causal GraphsIEEE International Conference on Systems, Man and Cybernetics (SMC), 2024 Leizhen Zhang Lusi Li Di Wu Sheng Chen Yi He 152 5 0 17 Aug 2024
FairAIED: Navigating Fairness, Bias, and Ethics in Educational AI Applications Sribala Vidyadhari Chinta Sribala Vidyadhari Chinta Zhipeng Yin Matthew Gonzalez Matthew Gonzalez 179 50 0 26 Jul 2024
To which reference class do you belong? Measuring racial fairness of reference classes with normative modeling S. Rutherford T. Wolfers Charlotte J. Fraza Nathaniel G. Harrnet Christian F. Beckmann H. Ruhé A. Marquand CML 234 9 0 26 Jul 2024
The Group Robustness is in the Details: Revisiting Finetuning under Spurious Correlations Tyler LaBonte John C. Hill Xinchen Zhang Vidya Muthukumar Abhishek Kumar AAML 155 3 0 19 Jul 2024
Building an Ethical and Trustworthy Biomedical AI Ecosystem for the Translational and Clinical Integration of Foundational Models Simha Sankar Baradwaj Destiny Gilliland Jack Rincon Henning Hermjakob Yu Yan ... Dean Wang Karol Watson Alex Bui Wei Wang Peipei Ping 211 14 0 18 Jul 2024
Fair Submodular Cover Wenjing Chen Shuo Xing Samson Zhou Victoria G. Crawford 129 4 0 05 Jul 2024
OxonFair: A Flexible Toolkit for Algorithmic Fairness Eoin Delaney Zihao Fu Sandra Wachter Brent Mittelstadt Chris Russell FaML 218 6 0 30 Jun 2024
Formalising Anti-Discrimination Law in Automated Decision Systems Holli Sargeant Måns Magnusson FaML 330 2 0 29 Jun 2024
Achieving Fairness Across Local and Global Models in Federated Learning Disha Makhija Xing Han Joydeep Ghosh Yejin Kim FedML 156 9 0 24 Jun 2024
Learning Interpretable Fair Representations Tianhao Wang Zana Buçinca Zilin Ma FaML 150 1 0 24 Jun 2024
Cherry on the Cake: Fairness is NOT an Optimization Problem Marco Favier T. Calders 115 2 0 24 Jun 2024
AIM: Attributing, Interpreting, Mitigating Data Unfairness Zhining Liu Ruizhong Qiu Zhichen Zeng Yada Zhu Hendrik Hamann Hanghang Tong FaML 179 10 0 13 Jun 2024
When is Multicalibration Post-Processing Necessary? Dutch Hansen Siddartha Devic Preetum Nakkiran Willie Neiswanger 210 13 0 10 Jun 2024
Deconstructing The Ethics of Large Language Models from Long-standing Issues to New-emerging Dilemmas Chengyuan Deng Yiqun Duan Xin Jin Heng Chang Yijun Tian ... Kuofeng Gao Sihong He Jun Zhuang Lu Cheng Haohan Wang AILaw 165 31 0 08 Jun 2024
A Unified View of Group Fairness Tradeoffs Using Partial Information DecompositionInternational Symposium on Information Theory (ISIT), 2024 Faisal Hamman Sanghamitra Dutta 168 3 0 07 Jun 2024
Algorithmic Fairness in Performative Policy Learning: Escaping the Impossibility of Group Fairness Seamus Somerstep Yaácov Ritov Yuekai Sun FaML 188 6 0 30 May 2024
FAIntbench: A Holistic and Precise Benchmark for Bias Evaluation in Text-to-Image Models Hanjun Luo Ziye Deng Ruizhe Chen Zuo-Qiang Liu EGVM 303 10 0 28 May 2024
The Impossibility of Fair LLMs Jacy Reese Anthis Kristian Lum Michael Ekstrand Avi Feller Alexander D’Amour FaML 266 20 0 28 May 2024
Fairness-Accuracy Trade-Offs: A Causal Perspective Drago Plečko Elias Bareinboim 123 10 0 24 May 2024
Assessing Group Fairness with Social Welfare OptimizationIntegration of AI and OR Techniques in Constraint Programming (CPAIOR), 2024 V. Chen J. N. Hooker Derek Leben 114 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 156 2 0 17 May 2024
Trustworthy AI in practice: an analysis of practitioners' needs and challengesInternational Conference on Evaluation & Assessment in Software Engineering (EASE), 2024 M. T. Baldassarre Domenico Gigante Marcos Kalinowski Azzurra Ragone Sara Tibidò 93 6 0 15 May 2024
Does Machine Bring in Extra Bias in Learning? Approximating Fairness in Models Promptly Yijun Bian Yujie Luo FaML 135 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 157 21 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 115 7 0 09 May 2024
Differentially Private Post-Processing for Fair Regression Ruicheng Xian Qiaobo Li Gautam Kamath Han Zhao 245 6 0 07 May 2024
Fair Risk Control: A Generalized Framework for Calibrating Multi-group Fairness RisksInternational Conference on Machine Learning (ICML), 2024 Lujing Zhang Aaron Roth Linjun Zhang FaML 225 10 0 03 May 2024
Individual Fairness Through Reweighting and Tuning A. J. Mahamadou Lea Goetz Russ B. Altman 147 0 0 02 May 2024
Improving Intervention Efficacy via Concept Realignment in Concept Bottleneck ModelsEuropean Conference on Computer Vision (ECCV), 2024 Nishad Singhi Jae Myung Kim Karsten Roth Zeynep Akata 203 4 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 279 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 144 14 0 18 Apr 2024
Utility-Fairness Trade-Offs and How to Find Them Sepehr Dehdashtian Bashir Sadeghi Vishnu Boddeti 139 14 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 143 2 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 116 3 0 04 Apr 2024
Learning Social Fairness Preferences from Non-Expert Stakeholder Opinions in Kidney PlacementACM Conference on Health, Inference, and Learning (CHIL), 2024 Mukund Telukunta Sukruth Rao Gabriella Stickney Venkata Sriram Siddhardh Nadendla Casey Canfield 166 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 155 18 0 03 Apr 2024
Addressing Both Statistical and Causal Gender Fairness in NLP Models Hannah Chen Yangfeng Ji David Evans 171 4 0 30 Mar 2024
The Pursuit of Fairness in Artificial Intelligence Models: A Survey Tahsin Alamgir Kheya Mohamed Reda Bouadjenek Sunil Aryal 196 19 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 121 0 0 24 Mar 2024
FairerCLIP: Debiasing CLIP's Zero-Shot Predictions using Functions in RKHSsInternational Conference on Learning Representations (ICLR), 2024 Sepehr Dehdashtian Lan Wang Vishnu Boddeti VLM 188 27 0 22 Mar 2024
Legally Binding but Unfair? Towards Assessing Fairness of Privacy Policies Vincent Freiberger Erik Buchmann AILaw 112 6 0 12 Mar 2024
Fairness Feedback Loops: Training on Synthetic Data Amplifies BiasConference on Fairness, Accountability and Transparency (FAccT), 2024 Sierra Wyllie Ilia Shumailov Nicolas Papernot 169 46 0 12 Mar 2024
Balancing Fairness and Accuracy in Data-Restricted Binary ClassificationACM Transactions on Knowledge Discovery from Data (TKDD), 2024 Zachary McBride Lazri Danial Dervovic Antigoni Polychroniadou Shubham Sharma Dana Dachman-Soled Min Wu FaML 145 0 0 12 Mar 2024
Fair Multivariate Adaptive Regression Splines for Ensuring Equity and Transparency Parian Haghighat Denisa Gándara Lulu Kang Hadis Anahideh 96 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 254 68 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 80 1 0 22 Feb 2024
Fairness Risks for Group-conditionally Missing Demographics Kaiqi Jiang Wenzhe Fan Mao Li Xinhua Zhang 345 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 159 4 0 14 Feb 2024