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
Critical Appraisal of Fairness Metrics in Clinical Predictive AI João Matos Ben Van Calster Leo Anthony Celi Paula Dhiman J. Gichoya R. Riley Chris Russell Sara Khalid Gary S. Collins 10 0 0 20 Jun 2025
Path-specific effects for pulse-oximetry guided decisions in critical care Kevin Zhang Yonghan Jung Divyat Mahajan Karthikeyan Shanmugam Shalmali Joshi CML 12 0 0 14 Jun 2025
Bias Amplification in RAG: Poisoning Knowledge Retrieval to Steer LLMs Linlin Wang Tianqing Zhu Laiqiao Qin Longxiang Gao Wanlei Zhou 12 0 0 13 Jun 2025
Fairness Overfitting in Machine Learning: An Information-Theoretic Perspective Firas Laakom Haobo Chen Jürgen Schmidhuber Yuheng Bu 14 0 0 09 Jun 2025
Understanding challenges to the interpretation of disaggregated evaluations of algorithmic fairness Stephen Pfohl Natalie Harris Chirag Nagpal David Madras Vishwali Mhasawade ... Nnamdi Ezeanochie Heather Cole-Lewis Katherine Heller Sanmi Koyejo Alexander D’Amour 120 0 0 04 Jun 2025
Selecting for Less Discriminatory Algorithms: A Relational Search Framework for Navigating Fairness-Accuracy Trade-offs in Practice Hana Samad Michael Akinwumi Jameel Khan Christoph Mügge-Durum Emmanuel O. Ogundimu 39 0 0 02 Jun 2025
AI Data Development: A Scorecard for the System Card Framework Tadesse K. Bahiru Haileleol Tibebu Ioannis A. Kakadiaris 19 0 0 02 Jun 2025
Differential Privacy for Deep Learning in Medicine Marziyeh Mohammadi Mohsen Vejdanihemmat Mahshad Lotfinia M. Rusu Daniel Truhn Andreas K. Maier Soroosh Tayebi Arasteh 34 0 0 31 May 2025
Bridging Distribution Shift and AI Safety: Conceptual and Methodological Synergies Chenruo Liu Kenan Tang Yao Qin Qi Lei 31 0 0 28 May 2025
Reconsidering Fairness Through Unawareness from the Perspective of Model Multiplicity Benedikt Höltgen Nuria Oliver FaML 59 0 0 22 May 2025
Fair Supervised Learning Through Constraints on Smooth Nonconvex Unfairness-Measure Surrogates Zahra Khatti Daniel P. Robinson Frank E. Curtis 16 0 0 21 May 2025
Algorithmic Hiring and Diversity: Reducing Human-Algorithm Similarity for Better Outcomes Prasanna Parasurama Panos Ipeirotis FaML 98 0 0 20 May 2025
When majority rules, minority loses: bias amplification of gradient descent François Bachoc Jérôme Bolte Ryan Boustany Jean-Michel Loubes FaML 99 0 0 19 May 2025
Unveil Sources of Uncertainty: Feature Contribution to Conformal Prediction Intervals Marouane Il Idrissi Agathe Fernandes Machado Ewen Gallic Arthur Charpentier 231 0 0 19 May 2025
Enforcing Fairness Where It Matters: An Approach Based on Difference-of-Convex Constraints Yutian He Yankun Huang Yao Yao Qihang Lin FaML 53 0 0 18 May 2025
Fairness-aware Anomaly Detection via Fair Projection Feng Xiao Xiaoying Tang Jicong Fan 91 0 0 16 May 2025
FairZK: A Scalable System to Prove Machine Learning Fairness in Zero-Knowledge Tianyu Zhang Shen Dong O. Deniz Kose Yanning Shen Yanzhe Zhang FaML 83 0 0 12 May 2025
Fairness Perceptions in Regression-based Predictive Models Mukund Telukunta Venkata Sriram Siddhardh Nadendla Morgan Stuart Casey Canfield 102 0 0 08 May 2025
FairPO: Robust Preference Optimization for Fair Multi-Label Learning Soumen Kumar Mondal Akshit Varmora Prateek Chanda Ganesh Ramakrishnan 94 0 0 05 May 2025
Quantitative Auditing of AI Fairness with Differentially Private Synthetic Data Chih-Cheng Rex Yuan Bow-Yaw Wang 154 0 0 30 Apr 2025
Three Types of Calibration with Properties and their Semantic and Formal Relationships Rabanus Derr Jessie Finocchiaro Robert C. Williamson 157 0 0 25 Apr 2025
FairPlay: A Collaborative Approach to Mitigate Bias in Datasets for Improved AI Fairness Tina Behzad Mithilesh Singh Anthony J. Ripa Klaus Mueller 92 0 0 22 Apr 2025
Data Requirement Goal Modeling for Machine Learning Systems Asma Z. Yamani Nadeen AlAmoudi Salma Albilali Malak Baslyman Jameleddine Hassine AI4TS 49 0 0 10 Apr 2025
Uncovering Fairness through Data Complexity as an Early Indicator Juliett Suárez Ferreira Marija Slavkovik Jorge Casillas 74 0 0 08 Apr 2025
LLM Social Simulations Are a Promising Research Method Jacy Reese Anthis Ryan Liu Sean M. Richardson Austin C. Kozlowski Bernard Koch James A. Evans Erik Brynjolfsson Michael S. Bernstein ALM 111 15 0 03 Apr 2025
Am I Being Treated Fairly? A Conceptual Framework for Individuals to Ascertain Fairness Juliett Suárez Ferreira Marija Slavkovik Jorge Casillas FaML 135 0 0 03 Apr 2025
Taxonomizing Representational Harms using Speech Act Theory Emily Corvi Hannah Washington Stefanie Reed Chad Atalla Alexandra Chouldechova ... Nicholas Pangakis Emily Sheng Dan Vann Matthew Vogel Hanna M. Wallach 70 1 0 01 Apr 2025
Attention IoU: Examining Biases in CelebA using Attention Maps Aaron Serianni Tyler Zhu Olga Russakovsky V. V. Ramaswamy 102 0 0 25 Mar 2025
Simulation-Driven Balancing of Competitive Game Levels with Reinforcement Learning Florian Rupp Manuel Eberhardinger Kai Eckert 101 2 0 24 Mar 2025
LoGoFair: Post-Processing for Local and Global Fairness in Federated Learning Lulu Zhang Chaochao Chen Zhongxuan Han Qiyong Zhong Xiaolin Zheng FedML 110 1 0 21 Mar 2025
Fairness-aware organ exchange and kidney paired donation Mingrui Zhang Xiaowu Dai Lexin Li 54 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 87 0 0 07 Mar 2025
Privacy-Preserving Fair Synthetic Tabular Data Fatima Jahan Sarmin Atiquer R. Rahman Christopher J. Henry Noman Mohammed 93 0 0 04 Mar 2025
Towards Multi-Stakeholder Evaluation of ML Models: A Crowdsourcing Study on Metric Preferences in Job-matching System Takuya Yokota Yuri Nakao 56 0 0 03 Mar 2025
What do Large Language Models Say About Animals? Investigating Risks of Animal Harm in Generated Text 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 149 1 0 03 Mar 2025
Towards Responsible AI in Education: Hybrid Recommendation System for K-12 Students Case Study Nazarii Drushchak Vladyslava Tyshchenko Nataliya Polyakovska 94 0 0 27 Feb 2025
AI Mismatches: Identifying Potential Algorithmic Harms Before AI Development Devansh Saxena Ji-Youn Jung Jodi Forlizzi Kenneth Holstein John Zimmerman 138 2 0 25 Feb 2025
Unmasking Gender Bias in Recommendation Systems and Enhancing Category-Aware Fairness Tahsin Alamgir Kheya Mohamed Reda Bouadjenek Sunil Aryal 61 0 0 25 Feb 2025
Testing for Causal Fairness Jiarun Fu LiZhong Ding Pengqi Li Qiuning Wei Yurong Cheng Xu Chen 88 0 0 18 Feb 2025
Revisiting the Berkeley Admissions data: Statistical Tests for Causal Hypotheses Sourbh Bhadane Joris Mooij Philip A. Boeken O. Zoeter 155 0 0 17 Feb 2025
Differential Adjusted Parity for Learning Fair Representations Bucher Sahyouni Matthew Vowels Liqun Chen Simon Hadfield FaML 163 0 0 13 Feb 2025
Fairness Aware Reinforcement Learning via Proximal Policy Optimization Gabriele La Malfa Jie M. Zhang Michael Luck Elizabeth Black 147 0 0 06 Feb 2025
Privilege Scores Ludwig Bothmann Philip A. Boustani Jose M. Alvarez Giuseppe Casalicchio Bernd Bischl Susanne Dandl 72 0 0 03 Feb 2025
A single-loop SPIDER-type stochastic subgradient method for expectation-constrained nonconvex nonsmooth optimization Wei Liu Yangyang Xu 111 4 0 31 Jan 2025
SoK: What Makes Private Learning Unfair? Kai Yao Marc Juarez 64 0 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 141 2 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 217 0 0 10 Jan 2025
An experimental study on fairness-aware machine learning for credit scoring problem Huyen Giang Thi Thu Thang Viet Doan Tai Le Quy FaML 79 0 0 31 Dec 2024
Fairness without Demographics through Learning Graph of Gradients Yingtao Luo Zerui Li Qiang Liu Jun Zhu 168 0 0 31 Dec 2024
Impact of Data Distribution on Fairness Guarantees in Equitable Deep Learning Yan Luo Congcong Wen Min Shi Hao Huang Yi Fang Mengyu Wang FedML 57 0 0 31 Dec 2024