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
Fair Classification with Adversarial PerturbationsNeural Information Processing Systems (NeurIPS), 2021 L. E. Celis Anay Mehrotra Nisheeth K. Vishnoi FaML 137 33 0 10 Jun 2021
An Information-theoretic Approach to Distribution ShiftsNeural Information Processing Systems (NeurIPS), 2021 Marco Federici Ryota Tomioka Patrick Forré OOD 172 24 0 07 Jun 2021
FairCal: Fairness Calibration for Face VerificationInternational Conference on Learning Representations (ICLR), 2021 Tiago Salvador Stephanie Cairns Vikram S. Voleti Noah Marshall Adam M. Oberman FaML 173 20 0 07 Jun 2021
A Near-Optimal Algorithm for Debiasing Trained Machine Learning ModelsNeural Information Processing Systems (NeurIPS), 2021 Ibrahim Alabdulmohsin Mario Lucic 163 22 0 06 Jun 2021
Fair Preprocessing: Towards Understanding Compositional Fairness of Data Transformers in Machine Learning Pipeline Sumon Biswas Hridesh Rajan 306 135 0 02 Jun 2021
Testing Group Fairness via Optimal Transport ProjectionsInternational Conference on Machine Learning (ICML), 2021 Nian Si Karthyek Murthy Jose H. Blanchet Viet Anh Nguyen 119 37 0 02 Jun 2021
A Clarification of the Nuances in the Fairness Metrics LandscapeScientific Reports (Sci Rep), 2021 Alessandro Castelnovo Riccardo Crupi Greta Greco D. Regoli Ilaria Giuseppina Penco A. Cosentini FaML 317 222 0 01 Jun 2021
Model Mis-specification and Algorithmic Bias Runshan Fu Yang Liang Peter Zhang 51 0 0 31 May 2021
Multi-group Agnostic PAC LearnabilityInternational Conference on Machine Learning (ICML), 2021 G. Rothblum G. Yona FaML 170 43 0 20 May 2021
Measuring Model Fairness under Noisy Covariates: A Theoretical PerspectiveAAAI/ACM Conference on AI, Ethics, and Society (AIES), 2021 Flavien Prost Pranjal Awasthi Nicholas Blumm A. Kumthekar Trevor Potter Li Wei Xuezhi Wang Ed H. Chi Jilin Chen Alex Beutel 137 16 0 20 May 2021
Beyond "Fairness:" Structural (In)justice Lenses on AI for Education Michael A. Madaio Su Lin Blodgett Elijah Mayfield Ezekiel Dixon-Román 122 44 0 18 May 2021
Cohort Shapley value for algorithmic fairness Masayoshi Mase Art B. Owen Benjamin B. Seiler 132 14 0 15 May 2021
Bias, Fairness, and Accountability with AI and ML Algorithms Neng-Zhi Zhou Zach Zhang V. Nair Harsh Singhal Jie Chen Agus Sudjianto FaML 153 9 0 13 May 2021
An Empirical Comparison of Bias Reduction Methods on Real-World Problems in High-Stakes Policy SettingsSIGKDD Explorations (SIGKDD Explor.), 2021 Hemank Lamba Kit T. Rodolfa Rayid Ghani OffRL 109 17 0 13 May 2021
The Authors Matter: Understanding and Mitigating Implicit Bias in Deep Text ClassificationFindings (Findings), 2021 Haochen Liu Wei Jin Hamid Karimi Zitao Liu Shucheng Zhou 102 32 0 06 May 2021
Rule Generation for Classification: Scalability, Interpretability, and FairnessComputers & Operations Research (Comput. Oper. Res.), 2021 Tabea E. Rober Adia C. Lumadjeng M. Akyuz cS. .Ilker Birbil 397 4 0 21 Apr 2021
Implementing Fair Regression In The Real World Boris Ruf Marcin Detyniecki 55 1 0 09 Apr 2021
Pareto Efficient Fairness in Supervised Learning: From Extraction to Tracing Mohammad Mahdi Kamani R. Forsati Chao Guo M. Mahdavi FaML 159 12 0 04 Apr 2021
fairmodels: A Flexible Tool For Bias Detection, Visualization, And MitigationThe R Journal (R Journal), 2021 Jakub Wi'sniewski P. Biecek 157 20 0 01 Apr 2021
Improved and efficient inter-vehicle distance estimation using road gradients of both ego and target vehiclesInternational Conference on Autonomic and Autonomous Systems (ICAAS), 2021 Robik Shrestha Jinkyu Lee Kushal Kafle S. Hwang Il Yong Chun 119 1 0 01 Apr 2021
Strong Optimal Classification TreesOperational Research (OR), 2021 S. Aghaei Andrés Gómez P. Vayanos 225 51 0 29 Mar 2021
Fairness Perceptions of Algorithmic Decision-Making: A Systematic Review of the Empirical LiteratureBig Data & Society (BDS), 2021 C. Starke Janine Baleis Birte Keller Frank Marcinkowski FaML 100 179 0 22 Mar 2021
Gender and Racial Fairness in Depression Research using Social MediaConference of the European Chapter of the Association for Computational Linguistics (EACL), 2021 Carlos Alejandro Aguirre Keith Harrigian Mark Dredze 170 39 0 18 Mar 2021
Hidden Technical Debts for Fair Machine Learning in Financial Services Chong Huang Arash Nourian Kevin Griest FaML 91 2 0 18 Mar 2021
Fairness-aware Outlier Ensemble Haoyu Liu Fenglong Ma Shibo He Jiming Chen Jing Gao 101 4 0 17 Mar 2021
Predicting Early Dropout: Calibration and Algorithmic Fairness Considerations Marzieh Karimi-Haghighi Carlos Castillo Davinia Hernández Leo Verónica Moreno Oliver FaML 114 6 0 16 Mar 2021
Designing Disaggregated Evaluations of AI Systems: Choices, Considerations, and TradeoffsAAAI/ACM Conference on AI, Ethics, and Society (AIES), 2021 Solon Barocas Anhong Guo Ece Kamar J. Krones Meredith Ringel Morris Jennifer Wortman Vaughan Duncan Wadsworth Hanna M. Wallach 127 86 0 10 Mar 2021
Fairness seen as Global Sensitivity AnalysisMachine-mediated learning (ML), 2021 Clément Bénesse Fabrice Gamboa Jean-Michel Loubes Thibaut Boissin 144 18 0 08 Mar 2021
Measuring Model Biases in the Absence of Ground TruthAAAI/ACM Conference on AI, Ethics, and Society (AIES), 2021 Osman Aka Ken Burke Alex Bauerle Christina Greer Margaret Mitchell 151 39 0 05 Mar 2021
Fairness of Exposure in Stochastic BanditsInternational Conference on Machine Learning (ICML), 2021 Lequn Wang Yiwei Bai Wen Sun Thorsten Joachims FaML 167 55 0 03 Mar 2021
Approximation Algorithms for Socially Fair ClusteringAnnual Conference Computational Learning Theory (COLT), 2021 Yury Makarychev A. Vakilian 182 56 0 03 Mar 2021
Fairness in Credit Scoring: Assessment, Implementation and Profit ImplicationsEuropean Journal of Operational Research (EJOR), 2021 Nikita Kozodoi Johannes Jacob Stefan Lessmann FaML 163 132 0 02 Mar 2021
Towards a Unified Framework for Fair and Stable Graph Representation LearningConference on Uncertainty in Artificial Intelligence (UAI), 2021 Chirag Agarwal Himabindu Lakkaraju Marinka Zitnik 237 179 0 25 Feb 2021
Benchmarking and Survey of Explanation Methods for Black Box ModelsData mining and knowledge discovery (DMKD), 2021 F. Bodria F. Giannotti Riccardo Guidotti Francesca Naretto D. Pedreschi S. Rinzivillo XAI 214 269 0 25 Feb 2021
Towards Unbiased and Accurate Deferral to Multiple ExpertsAAAI/ACM Conference on AI, Ethics, and Society (AIES), 2021 Vijay Keswani Matthew Lease K. Kenthapadi FaML 102 81 0 25 Feb 2021
Directional Bias AmplificationInternational Conference on Machine Learning (ICML), 2021 Angelina Wang Olga Russakovsky 161 76 0 24 Feb 2021
Learning to Fairly Classify the Quality of Wireless LinksWireless on Demand Network Systems and Service (WONS), 2021 Gregor Cerar Halil Yetgin M. Mohorčič Carolina Fortuna FaML 105 11 0 23 Feb 2021
Everything is Relative: Understanding Fairness with Optimal Transport Kweku Kwegyir-Aggrey Rebecca Santorella Sarah M. Brown OT 135 5 0 20 Feb 2021
Towards the Right Kind of Fairness in AI Boris Ruf Marcin Detyniecki 187 28 0 16 Feb 2021
Technical Challenges for Training Fair Neural Networks Valeriia Cherepanova V. Nanda Micah Goldblum John P. Dickerson Tom Goldstein FaML 111 27 0 12 Feb 2021
A Decentralized Approach towards Responsible AI in Social EcosystemsInternational Conference on Web and Social Media (ICWSM), 2021 Wenjing Chu 167 10 0 12 Feb 2021
The FairCeptron: A Framework for Measuring Human Perceptions of Algorithmic FairnessUser Modeling, Adaptation, and Personalization (UMAP), 2021 Georg Ahnert Ivan Smirnov Florian Lemmerich Claudia Wagner M. Strohmaier FaML 102 2 0 08 Feb 2021
Removing biased data to improve fairness and accuracy Sahil Verma Michael Ernst René Just FaML 168 28 0 05 Feb 2021
Problematic Machine Behavior: A Systematic Literature Review of Algorithm Audits Jack Bandy MLAU 124 132 0 03 Feb 2021
BeFair: Addressing Fairness in the Banking Sector Alessandro Castelnovo Riccardo Crupi Giulia Del Gamba Greta Greco A. Naseer D. Regoli Beatriz San Miguel González FaML 108 18 0 03 Feb 2021
Emergent Unfairness in Algorithmic Fairness-Accuracy Trade-Off ResearchAAAI/ACM Conference on AI, Ethics, and Society (AIES), 2021 A. Feder Cooper Ellen Abrams FaML 309 68 0 01 Feb 2021
Soliciting Stakeholders' Fairness Notions in Child Maltreatment Predictive SystemsInternational Conference on Human Factors in Computing Systems (CHI), 2021 H. Cheng Logan Stapleton Ruiqi Wang Paige E Bullock Alexandra Chouldechova Zhiwei Steven Wu Haiyi Zhu FaML 98 76 0 01 Feb 2021
Computability, Complexity, Consistency and Controllability: A Four C's Framework for cross-disciplinary Ethical Algorithm Research Elija Perrier 91 2 0 30 Jan 2021
Sampling a Near Neighbor in High Dimensions -- Who is the Fairest of Them All?ACM Transactions on Database Systems (TODS), 2021 Martin Aumüller Sariel Har-Peled S. Mahabadi Rasmus Pagh Francesco Silvestri 85 15 0 26 Jan 2021
Modeling Assumptions Clash with the Real World: Transparency, Equity, and Community Challenges for Student Assignment AlgorithmsInternational Conference on Human Factors in Computing Systems (CHI), 2021 Samantha Robertson Tonya Nguyen Niloufar Salehi 84 68 0 25 Jan 2021