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
Simulation-Driven Balancing of Competitive Game Levels with Reinforcement LearningIEEE Transactions on Games (IEEE Trans. Games), 2024 Florian Rupp Manuel Eberhardinger Kai Eckert 165 4 0 24 Mar 2025
LoGoFair: Post-Processing for Local and Global Fairness in Federated LearningAAAI Conference on Artificial Intelligence (AAAI), 2025 Lulu Zhang Chaochao Chen Zhongxuan Han Qiyong Zhong Xiaolin Zheng FedML 177 1 0 21 Mar 2025
AI Biases as Asymmetries: A Review to Guide PracticeFrontiers in Big Data (FBD), 2025 Gabriella Waters Phillip Honenberger 86 2 0 10 Mar 2025
Fairness-aware organ exchange and kidney paired donation Mingrui Zhang Xiaowu Dai Lexin Li 90 0 0 09 Mar 2025
Fairness-Aware Low-Rank Adaptation Under Demographic Privacy Constraints Parameswaran Kamalaruban Mark Anderson Stuart Burrell Maeve Madigan Piotr Skalski David Sutton 173 1 0 07 Mar 2025
Privacy-Preserving Fair Synthetic Tabular Data Fatima Jahan Sarmin Atiquer R. Rahman Christopher J. Henry Noman Mohammed 165 0 0 04 Mar 2025
Towards Multi-Stakeholder Evaluation of ML Models: A Crowdsourcing Study on Metric Preferences in Job-matching SystemInternational Conference on Computer-Human Interaction Research and Applications (CHIRA), 2025 Takuya Yokota Yuri Nakao 83 1 0 03 Mar 2025
What do Large Language Models Say About Animals? Investigating Risks of Animal Harm in Generated TextConference on Fairness, Accountability and Transparency (FAccT), 2025 Arturs Kanepajs Aditi Basu Sankalpa Ghose Constance Li Akshat Mehta Ronak Mehta Samuel David Tucker-Davis Eric Zhou Bob Fischer Jacy Reese Anthis ELM ALM 341 6 0 03 Mar 2025
Towards Responsible AI in Education: Hybrid Recommendation System for K-12 Students Case Study Nazarii Drushchak Vladyslava Tyshchenko Nataliya Polyakovska 179 0 0 27 Feb 2025
AI Mismatches: Identifying Potential Algorithmic Harms Before AI DevelopmentInternational Conference on Human Factors in Computing Systems (CHI), 2025 Devansh Saxena Ji-Youn Jung Jodi Forlizzi Kenneth Holstein John Zimmerman 264 7 0 25 Feb 2025
Unmasking Gender Bias in Recommendation Systems and Enhancing Category-Aware FairnessThe Web Conference (WWW), 2025 Tahsin Alamgir Kheya Mohamed Reda Bouadjenek Sunil Aryal 139 4 0 25 Feb 2025
Testing for Causal Fairness Jiarun Fu LiZhong Ding Pengqi Li Qiuning Wei Yurong Cheng Xu Chen 207 0 0 18 Feb 2025
Presumed Cultural Identity: How Names Shape LLM Responses Siddhesh Pawar Arnav Arora Lucie-Aimée Kaffee Isabelle Augenstein 288 6 0 17 Feb 2025
Revisiting the Berkeley Admissions data: Statistical Tests for Causal HypothesesConference on Uncertainty in Artificial Intelligence (UAI), 2025 Sourbh Bhadane Joris Mooij Philip A. Boeken O. Zoeter 277 0 0 14 Feb 2025
Differential Adjusted Parity for Learning Fair Representations Bucher Sahyouni Matthew Vowels Liqun Chen Simon Hadfield FaML 386 0 0 13 Feb 2025
Fairness Aware Reinforcement Learning via Proximal Policy Optimization Gabriele La Malfa Jie M. Zhang Michael Luck Elizabeth Black 237 2 0 06 Feb 2025
Privilege Scores Ludwig Bothmann Philip A. Boustani Jose M. Alvarez Giuseppe Casalicchio B. Bischl Susanne Dandl 139 0 0 03 Feb 2025
A single-loop SPIDER-type stochastic subgradient method for expectation-constrained nonconvex nonsmooth optimization Wei Liu Yangyang Xu 216 6 0 31 Jan 2025
SoK: What Makes Private Learning Unfair? Kai Yao Marc Juarez 171 1 0 24 Jan 2025
It's complicated. The relationship of algorithmic fairness and non-discrimination regulations for high-risk systems in the EU AI Act Kristof Meding FaML 270 3 0 22 Jan 2025
Counterfactually Fair Reinforcement Learning via Sequential Data Preprocessing Jitao Wang C. Shi John D. Piette Joshua R. Loftus Donglin Zeng Zhenke Wu OffRL 392 2 0 10 Jan 2025
Fairness without Demographics through Learning Graph of GradientsKnowledge Discovery and Data Mining (KDD), 2024 Yingtao Luo Zerui Li Qiang Liu Jun Zhu 267 2 0 31 Dec 2024
Impact of Data Distribution on Fairness Guarantees in Equitable Deep Learning Yan Luo Congcong Wen Min Shi Niraj Pudasaini Yi Fang Mengyu Wang FedML 99 1 0 31 Dec 2024
An experimental study on fairness-aware machine learning for credit scoring problem Huyen Giang Thi Thu Thang Viet Doan Tai Le Quy FaML 129 1 0 31 Dec 2024
Constructing Fair Latent Space for Intersection of Fairness and ExplainabilityAAAI Conference on Artificial Intelligence (AAAI), 2024 Hyungjun Joo Hyeonggeun Han Sehwan Kim Sangwoo Hong Jungwoo Lee 233 2 0 23 Dec 2024
Fair and Accurate Regression: Strong Formulations and Algorithms Anna Deza Andrés Gómez Alper Atamturk FaML 265 0 0 22 Dec 2024
Does calibration mean what they say it means; or, the reference class problem rises againPhilosophical Studies (Philos. Stud.), 2024 Lily Hu FaML 244 0 0 21 Dec 2024
Who's the (Multi-)Fairest of Them All: Rethinking Interpolation-Based Data Augmentation Through the Lens of MulticalibrationAAAI Conference on Artificial Intelligence (AAAI), 2024 Karina Halevy Karly Hou Charumathi Badrinath 379 0 0 13 Dec 2024
On Socially Fair Low-Rank Approximation and Column Subset SelectionNeural Information Processing Systems (NeurIPS), 2024 Zhao Song A. Vakilian David P. Woodruff Samson Zhou 151 4 0 08 Dec 2024
Improving LLM Group Fairness on Tabular Data via In-Context Learning Valeriia Cherepanova Chia-Jung Lee Nil-Jana Akpinar Riccardo Fogliato Martín Bertrán Michael Kearns James Zou LMTD 276 3 0 05 Dec 2024
Data Acquisition for Improving Model Fairness using Reinforcement Learning Jahid Hasan Romila Pradhan 146 0 0 04 Dec 2024
Towards Utilising a Range of Neural Activations for Comprehending Representational AssociationsIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2024 Laura O'Mahony Nikola S. Nikolov David JP O'Sullivan 309 0 0 15 Nov 2024
SAFES: Sequential Privacy and Fairness Enhancing Data Synthesis for Responsible AI S. Giddens Fan Liu Fang Liu 152 1 0 14 Nov 2024
TowerDebias: A Novel Unfairness Removal Method Based on the Tower Property Norman Matloff Aditya Mittal 111 0 0 13 Nov 2024
Properties of fairness measures in the context of varying class imbalance and protected group ratiosACM Transactions on Knowledge Discovery from Data (TKDD), 2024 D. Brzezinski Julia Stachowiak Jerzy Stefanowski Izabela Szczech R. Susmaga Sofya Aksenyuk Uladzimir Ivashka Oleksandr Yasinskyi 322 7 0 13 Nov 2024
A Review of Fairness and A Practical Guide to Selecting Context-Appropriate Fairness Metrics in Machine Learning Caleb J. S. Barr Olivia Erdelyi Paul D. Docherty Randolph C. Grace FaML 346 0 0 10 Nov 2024
A Simple Remedy for Dataset Bias via Self-Influence: A Mislabeled Sample PerspectiveNeural Information Processing Systems (NeurIPS), 2024 Yeonsung Jung Jaeyun Song J. Yang Jin-Hwa Kim Sung-Yub Kim Eunho Yang 281 3 0 01 Nov 2024
Engineering Trustworthy AI: A Developer Guide for Empirical Risk MinimizationIEEE Transactions on Artificial Intelligence (IEEE TAI), 2024 Diana Pfau Alexander Jung 177 1 0 25 Oct 2024
Revisiting Technical Bias Mitigation StrategiesAnnual Review of Biomedical Data Science (ARBDS), 2024 Abdoul Jalil Djiberou Mahamadou Artem A. Trotsyuk 194 1 0 22 Oct 2024
A Human-in-the-Loop Fairness-Aware Model Selection Framework for Complex Fairness Objective LandscapesAAAI/ACM Conference on AI, Ethics, and Society (AIES), 2024 Jake Robertson Thorsten Schmidt Katharina Eggensperger Noor H. Awad 136 2 0 17 Oct 2024
The Disparate Benefits of Deep Ensembles Kajetan Schweighofer Adrián Arnaiz-Rodríguez Sepp Hochreiter Nuria Oliver FedML 199 2 0 17 Oct 2024
FAIREDU: A Multiple Regression-Based Method for Enhancing Fairness in Machine Learning Models for Educational Applications Nga Pham Minh Kha Do Tran Vu Dai Pham Ngoc Hung Anh Nguyen-Duc 95 0 0 08 Oct 2024
From Transparency to Accountability and Back: A Discussion of Access and Evidence in AI AuditingConference on Equity and Access in Algorithms, Mechanisms, and Optimization (EAAMO), 2024 Sarah H. Cen Rohan Alur 159 7 0 07 Oct 2024
Social Choice for Heterogeneous Fairness in RecommendationACM Conference on Recommender Systems (RecSys), 2024 Amanda A. Aird Elena Stefancova Cassidy All A. Voida Martin Homola Nicholas Mattei Robin Burke FaML 200 3 0 06 Oct 2024
Rethinking Fair Representation Learning for Performance-Sensitive TasksInternational Conference on Learning Representations (ICLR), 2024 Charles Jones Fabio De Sousa Ribeiro Mélanie Roschewitz Daniel Coelho De Castro Ben Glocker FaML OOD CML 493 4 0 05 Oct 2024
Digital Discrimination in Dating Apps and the Dutch Breeze case Tim de Jonge Frederik Zuiderveen Borgesius 68 0 0 24 Sep 2024
Is it Still Fair? A Comparative Evaluation of Fairness Algorithms through the Lens of Covariate DriftMachine-mediated learning (ML), 2024 Oscar Blessed Deho Michael Bewong Selasi Kwashie Jiuyong Li Jixue Liu Lin Liu Srecko Joksimovic FaML 176 0 0 19 Sep 2024
Perceptions of the Fairness Impacts of Multiplicity in Machine LearningInternational Conference on Human Factors in Computing Systems (CHI), 2024 Anna P. Meyer Yea-Seul Kim Aws Albarghouthi Loris DÁntoni FaML 127 1 0 18 Sep 2024
Secure and Confidential Certificates of Online Fairness Olive Franzese Ali Shahin Shamsabadi Carter Luck Hamed Haddadi 153 5 0 17 Sep 2024
Evaluating Fairness in Transaction Fraud Models: Fairness Metrics, Bias Audits, and ChallengesInternational Conference on AI in Finance (ICAF), 2024 Parameswaran Kamalaruban Yulu Pi Stuart Burrell Eleanor Drage Piotr Skalski Jason Wong David Sutton 113 2 0 06 Sep 2024