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
Assessing Generalization for Subpopulation Representative Modeling via In-Context Learning Gabriel Simmons Vladislav Savinov 92 4 0 12 Feb 2024
Unveiling Group-Specific Distributed Concept Drift: A Fairness Imperative in Federated LearningIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2024 Teresa Salazar Joao Gama Helder Araújo Pedro Abreu FaML FedML 194 6 0 12 Feb 2024
Example-based Explanations for Random Forests using Machine Unlearning Tanmay Surve Romila Pradhan FaML FAtt 119 3 0 07 Feb 2024
Large Language Models are Geographically Biased Rohin Manvi Samar Khanna Marshall Burke David B. Lobell Stefano Ermon 237 81 0 05 Feb 2024
A Distributionally Robust Optimisation Approach to Fair Credit Scoring Pablo Casas Christophe Mues Huan Yu 89 1 0 02 Feb 2024
Trustworthy Distributed AI Systems: Robustness, Privacy, and Governance Wenqi Wei Ling Liu 257 40 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 191 4 0 29 Jan 2024
A Decision Theoretic Framework for Measuring AI RelianceConference on Fairness, Accountability and Transparency (FAccT), 2024 Ziyang Guo Yifan Wu Jason D. Hartline Jessica Hullman 268 26 0 27 Jan 2024
Benchmarking the Fairness of Image Upsampling MethodsConference on Fairness, Accountability and Transparency (FAccT), 2024 M. Laszkiewicz Imant Daunhawer Julia E. Vogt Asja Fischer Johannes Lederer EGVM 169 4 0 24 Jan 2024
Falcon: Fair Active Learning using Multi-armed BanditsProceedings of the VLDB Endowment (PVLDB), 2024 Ki Hyun Tae Hantian Zhang Jaeyoung Park Kexin Rong Steven Euijong Whang FaML 203 6 0 23 Jan 2024
Interventional Fairness on Partially Known Causal Graphs: A Constrained Optimization Approach Aoqi Zuo Yiqing Li Susan Wei Biwei Huang FaML 200 8 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 132 4 0 14 Jan 2024
Fairness Certification for Natural Language Processing and Large Language Models Vincent Freiberger Erik Buchmann 185 2 0 02 Jan 2024
User Consented Federated Recommender System Against Personalized Attribute Inference Attack Qi Hu Yangqiu Song FedML 140 18 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 131 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 104 1 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 233 9 0 07 Dec 2023
Detecting algorithmic bias in medical-AI models using trees Jeffrey Smith Andre L. Holder Rishikesan Kamaleswaran Yao Xie 211 2 0 05 Dec 2023
E-values, Multiple Testing and Beyond Guanxun Li Xianyang Zhang 168 1 0 05 Dec 2023
Toward the Tradeoffs between Privacy, Fairness and Utility in Federated LearningInternational Symposium on Emerging Information Security and Applications (EISA), 2023 Kangkang Sun Xiaojin Zhang Xi Lin Gaolei Li Jing Wang Jianhua Li 138 7 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 159 2 0 21 Nov 2023
Designing Long-term Group Fair Policies in Dynamical SystemsConference on Fairness, Accountability and Transparency (FAccT), 2023 Miriam Rateike Isabel Valera Patrick Forré 215 5 0 21 Nov 2023
Measuring and Mitigating Biases in Motor Insurance PricingEuropean Actuarial Journal (EAJ), 2023 Mulah Moriah Franck Vermet Arthur Charpentier 156 1 0 20 Nov 2023
Fair Supervised Learning with A Simple Random Sampler of Sensitive AttributesInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023 Jinwon Sohn Qifan Song Guang Lin FaML 208 1 0 10 Nov 2023
Fair Wasserstein Coresets Zikai Xiong Niccolò Dalmasso Sanjay Kariyappa Freddy Lecue Daniele Magazzeni Vamsi K. Potluru T. Balch Manuela Veloso 251 3 0 09 Nov 2023
Procedural Fairness Through Decoupling Objectionable Data Generating ComponentsInternational Conference on Learning Representations (ICLR), 2023 Zeyu Tang Jialu Wang Yang Liu Peter Spirtes Kun Zhang 218 3 0 05 Nov 2023
Equal Opportunity of Coverage in Fair RegressionNeural Information Processing Systems (NeurIPS), 2023 Fangxin Wang Lu Cheng Ruocheng Guo Kay Liu Philip S. Yu 303 18 0 03 Nov 2023
Causal Context Connects Counterfactual Fairness to Robust Prediction and Group FairnessNeural Information Processing Systems (NeurIPS), 2023 Jacy Reese Anthis Victor Veitch 150 20 0 30 Oct 2023
WCLD: Curated Large Dataset of Criminal Cases from Wisconsin Circuit CourtsNeural Information Processing Systems (NeurIPS), 2023 Elliott Ash Naman Goel Nianyun Li Claudia Marangon Peiyao Sun 233 2 0 28 Oct 2023
fairret: a Framework for Differentiable Fairness Regularization TermsInternational Conference on Learning Representations (ICLR), 2023 Maarten Buyl Marybeth Defrance T. D. Bie FedML 198 7 0 26 Oct 2023
A Canonical Data Transformation for Achieving Inter- and Within-group FairnessIEEE Transactions on Information Forensics and Security (IEEE TIFS), 2023 Zachary McBride Lazri Shubham Sharma Xin Tian Dana Dachman-Soled Antigoni Polychroniadou Danial Dervovic Min Wu 158 2 0 23 Oct 2023
Detection and Evaluation of bias-inducing Features in Machine learning Moses Openja Gabriel Laberge Foutse Khomh CML 51 5 0 19 Oct 2023
Group-blind optimal transport to group parity and its constrained variants Quan-Gen Zhou Georgios Korpas 169 3 0 17 Oct 2023
Understanding Fairness Surrogate Functions in Algorithmic Fairness Wei Yao Zhanke Zhou Zhicong Li Bo Han Yong Liu 191 7 0 17 Oct 2023
A Critical Survey on Fairness Benefits of Explainable AI Luca Deck Jakob Schoeffer Maria De-Arteaga Niklas Kühl 347 22 0 15 Oct 2023
The Impact of Explanations on Fairness in Human-AI Decision-Making: Protected vs Proxy FeaturesInternational Conference on Intelligent User Interfaces (IUI), 2023 Navita Goyal Connor Baumler Tin Trung Nguyen Hal Daumé 225 9 0 12 Oct 2023
Post-hoc Bias Scoring Is Optimal For Fair ClassificationInternational Conference on Learning Representations (ICLR), 2023 Wenlong Chen Yegor Klochkov Yang Liu FaML 248 9 0 09 Oct 2023
On Prediction-Modelers and Decision-Makers: Why Fairness Requires More Than a Fair Prediction Model Teresa Scantamburlo Joachim Baumann Christoph Heitz FaML 153 10 0 09 Oct 2023
Interventions Against Machine-Assisted Statistical Discrimination John Y. Zhu 191 0 0 06 Oct 2023
Fair Feature Selection: A Comparison of Multi-Objective Genetic Algorithms James Brookhouse Alex Freitas FaML 73 2 0 04 Oct 2023
Estimating and Implementing Conventional Fairness Metrics With Probabilistic Protected Features Hadi Elzayn Emily Black Patrick Vossler Nathanael Jo Jacob Goldin Daniel E. Ho 111 7 0 02 Oct 2023
Towards Last-layer Retraining for Group Robustness with Fewer AnnotationsNeural Information Processing Systems (NeurIPS), 2023 Tyler LaBonte Vidya Muthukumar Abhishek Kumar 257 54 0 15 Sep 2023
Boosting Fair Classifier Generalization through Adaptive Priority ReweighingACM Transactions on Knowledge Discovery from Data (TKDD), 2023 Zhihao Hu Yiran Xu Mengnan Du Jindong Gu Xinmei Tian Fengxiang He 224 1 0 15 Sep 2023
Verifiable Fairness: Privacy-preserving Computation of Fairness for Machine Learning Systems Ehsan Toreini M. Mehrnezhad Aad van Moorsel 108 6 0 12 Sep 2023
Re-formalization of Individual Fairness Toshihiro Kamishima FaML 58 0 0 11 Sep 2023
Developing A Fair Individualized Polysocial Risk Score (iPsRS) for Identifying Increased Social Risk of Hospitalizations in Patients with Type 2 Diabetes (T2D) Yu Huang Jingchuan Guo W. Donahoo Zhengkang Fan Ying Lu Wei-Han Chen Huilin Tang Lori Bilello E. Shenkman Jiang Bian 142 1 0 05 Sep 2023
Fairness in Ranking under Disparate UncertaintyConference on Equity and Access in Algorithms, Mechanisms, and Optimization (EAAMO), 2023 Richa Rastogi Thorsten Joachims 190 3 0 04 Sep 2023
Bias and Fairness in Large Language Models: A SurveyComputational Linguistics (CL), 2023 Isabel O. Gallegos Ryan Rossi Joe Barrow Md Mehrab Tanjim Sungchul Kim Franck Dernoncourt Tong Yu Ruiyi Zhang Nesreen Ahmed AILaw 234 832 0 02 Sep 2023
Advancing Personalized Federated Learning: Group Privacy, Fairness, and BeyondSN Computer Science (SCS), 2023 Filippo Galli Kangsoo Jung Sayan Biswas C. Palamidessi Tommaso Cucinotta FedML 175 15 0 01 Sep 2023
Evaluating the Vulnerabilities in ML systems in terms of adversarial attacks John Harshith Mantej Singh Gill Madhan Jothimani AAML 81 1 0 24 Aug 2023