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 / 858 papers shown

Title
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 51 4 0 09 May 2024
Differentially Private Post-Processing for Fair Regression Ruicheng Xian Qiaobo Li Gautam Kamath Han Zhao 64 3 0 07 May 2024
Fair Risk Control: A Generalized Framework for Calibrating Multi-group Fairness Risks Lujing Zhang Aaron Roth Linjun Zhang FaML 175 9 0 03 May 2024
Individual Fairness Through Reweighting and Tuning A. J. Mahamadou Lea Goetz Russ B. Altman 78 0 0 02 May 2024
Improving Intervention Efficacy via Concept Realignment in Concept Bottleneck Models Nishad Singhi Jae Myung Kim Karsten Roth Zeynep Akata 78 2 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 74 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 82 8 0 18 Apr 2024
Utility-Fairness Trade-Offs and How to Find Them Sepehr Dehdashtian Bashir Sadeghi Vishnu Boddeti 80 6 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 81 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 72 2 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 101 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 89 12 0 03 Apr 2024
Addressing Both Statistical and Causal Gender Fairness in NLP Models Hannah Chen Yangfeng Ji David Evans 75 4 0 30 Mar 2024
The Pursuit of Fairness in Artificial Intelligence Models: A Survey Tahsin Alamgir Kheya Mohamed Reda Bouadjenek Sunil Aryal 82 9 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 45 0 0 24 Mar 2024
FairerCLIP: Debiasing CLIP's Zero-Shot Predictions using Functions in RKHSs Sepehr Dehdashtian Lan Wang Vishnu Boddeti VLM 89 15 0 22 Mar 2024
Legally Binding but Unfair? Towards Assessing Fairness of Privacy Policies Vincent Freiberger Erik Buchmann AILaw 68 5 0 12 Mar 2024
Fairness Feedback Loops: Training on Synthetic Data Amplifies Bias Sierra Wyllie Ilia Shumailov Nicolas Papernot 88 32 0 12 Mar 2024
Balancing Fairness and Accuracy in Data-Restricted Binary Classification Zachary McBride Lazri Danial Dervovic Antigoni Polychroniadou Ivan Brugere Dana Dachman-Soled Min Wu FaML 106 0 0 12 Mar 2024
Fair Multivariate Adaptive Regression Splines for Ensuring Equity and Transparency Parian Haghighat Denisa Gándara Lulu Kang Hadis Anahideh 57 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 77 50 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 35 1 0 22 Feb 2024
Fairness Risks for Group-conditionally Missing Demographics Kaiqi Jiang Wenzhe Fan Mao Li Xinhua Zhang 184 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 94 0 0 14 Feb 2024
Unveiling Group-Specific Distributed Concept Drift: A Fairness Imperative in Federated Learning Teresa Salazar Joao Gama Helder Araújo Pedro Abreu FaML FedML 66 3 0 12 Feb 2024
Assessing Generalization for Subpopulation Representative Modeling via In-Context Learning Gabriel Simmons Vladislav Savinov 49 1 0 12 Feb 2024
Example-based Explanations for Random Forests using Machine Unlearning Tanmay Surve Romila Pradhan FaML FAtt 51 3 0 07 Feb 2024
Large Language Models are Geographically Biased Rohin Manvi Samar Khanna Marshall Burke David B. Lobell Stefano Ermon 105 53 0 05 Feb 2024
A Distributionally Robust Optimisation Approach to Fair Credit Scoring Pablo Casas Christophe Mues Huan Yu 22 0 0 02 Feb 2024
Trustworthy Distributed AI Systems: Robustness, Privacy, and Governance Wenqi Wei Ling Liu 121 20 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 114 2 0 29 Jan 2024
A Decision Theoretic Framework for Measuring AI Reliance Ziyang Guo Yifan Wu Jason D. Hartline Jessica Hullman 85 18 0 27 Jan 2024
Benchmarking the Fairness of Image Upsampling Methods M. Laszkiewicz Imant Daunhawer Julia E. Vogt Asja Fischer Johannes Lederer EGVM 75 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 67 4 0 23 Jan 2024
Interventional Fairness on Partially Known Causal Graphs: A Constrained Optimization Approach Aoqi Zuo Yiqing Li Susan Wei Biwei Huang FaML 72 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 35 3 0 14 Jan 2024
Fairness Certification for Natural Language Processing and Large Language Models Vincent Freiberger Erik Buchmann 88 2 0 02 Jan 2024
User Consented Federated Recommender System Against Personalized Attribute Inference Attack Qi Hu Yangqiu Song FedML 74 11 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 75 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 45 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 82 6 0 07 Dec 2023
Detecting algorithmic bias in medical-AI models using trees Jeffrey Smith Andre L. Holder Rishikesan Kamaleswaran Yao Xie 100 1 0 05 Dec 2023
E-values, Multiple Testing and Beyond Guanxun Li Xianyang Zhang 58 1 0 05 Dec 2023
Toward the Tradeoffs between Privacy, Fairness and Utility in Federated Learning Kangkang Sun Xiaojin Zhang Xi Lin Gaolei Li Jing Wang Jianhua Li 85 4 0 30 Nov 2023
Adversarial Reweighting Guided by Wasserstein Distance for Bias Mitigation Xuan Zhao Simone Fabbrizzi Paula Reyero Lobo Siamak Ghodsi Klaus Broelemann Steffen Staab Gjergji Kasneci 74 1 0 21 Nov 2023
Designing Long-term Group Fair Policies in Dynamical Systems Miriam Rateike Isabel Valera Patrick Forré 88 4 0 21 Nov 2023
Measuring and Mitigating Biases in Motor Insurance Pricing Mulah Moriah Franck Vermet Arthur Charpentier 66 1 0 20 Nov 2023
Fair Supervised Learning with A Simple Random Sampler of Sensitive Attributes Jinwon Sohn Qifan Song Guang Lin FaML 87 1 0 10 Nov 2023
Fair Wasserstein Coresets Zikai Xiong Niccolò Dalmasso Shubham Sharma Freddy Lecue Daniele Magazzeni Vamsi K. Potluru T. Balch Manuela Veloso 76 2 0 09 Nov 2023
Procedural Fairness Through Decoupling Objectionable Data Generating Components Zeyu Tang Jialu Wang Yang Liu Peter Spirtes Kun Zhang 39 2 0 05 Nov 2023