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
Achieving Fairness Without Harm via Selective Demographic Experts Xuwei Tan Yuanlong Wang Thai-Hoang Pham Ping Zhang Xueru Zhang 40 0 0 09 Nov 2025
Reflections from Research Roundtables at the Conference on Health, Inference, and Learning (CHIL) 2025 Emily Alsentzer Marie-Laure Charpignon Bill Chen N. S. D'Souza Jason Alan Fries ... Hye Sun Yun Xiaoman Zhang Xiao Yu Cindy Zhang Hayoung Jeong Kaveri A. Thakoor OOD LMTD LM&MA 272 0 0 17 Oct 2025
Machine Learning and Public Health: Identifying and Mitigating Algorithmic Bias through a Systematic Review Sara Altamirano Arjan Vreeken Sennay Ghebreab 51 0 0 16 Oct 2025
Counterfactually Fair Conformal Prediction Ozgur Guldogan Neeraj Sarna Yuanyuan Li Michael Berger 76 0 0 09 Oct 2025
Estimating Fair Graphs from Graph-Stationary Data Madeline Navarro Andrei Buciulea Samuel Rey A. Marques Santiago Segarra 60 0 0 08 Oct 2025
Orchestrating Human-AI Teams: The Manager Agent as a Unifying Research Challenge Charlie Masters Advaith Vellanki J. Shangguan Bart Kultys Jonathan Gilmore Alastair Moore Stefano V. Albrecht 90 1 0 02 Oct 2025
FairContrast: Enhancing Fairness through Contrastive learning and Customized Augmenting Methods on Tabular Data Aida Tayebi Ali Khodabandeh Yalabadi Mehdi Yazdani-Jahromi O. Garibay FaML 136 0 0 02 Oct 2025
Partial Identification Approach to Counterfactual Fairness Assessment Saeyoung Rho Junzhe Zhang Elias Bareinboim FaML 101 0 0 30 Sep 2025
Fair Classification by Direct Intervention on Operating Characteristics Kevin Jiang Edgar Dobriban FaML 101 0 0 29 Sep 2025
Breaking the Cycle of Incarceration With Targeted Mental Health Outreach: A Case Study in Machine Learning for Public Policy Kit T. Rodolfa E. Salomon Jin Yao Steve Yoder Robert Sullivan ... Rob MacDougall Brian Seidler Christina Sung Claire Herdeman Rayid Ghani 44 0 0 17 Sep 2025
Sy-FAR: Symmetry-based Fair Adversarial Robustness Haneen Najjar Eyal Ronen Mahmood Sharif AAML 71 0 0 16 Sep 2025
An Information-Theoretic Framework for Credit Risk Modeling: Unifying Industry Practice with Statistical Theory for Fair and Interpretable Scorecards Agus Sudjianto Denis Burakov 20 0 0 11 Sep 2025
Audits Under Resource, Data, and Access Constraints: Scaling Laws For Less Discriminatory Alternatives Sarah H. Cen Salil Goyal Zaynah Javed Ananya Karthik Abigail Z. Jacobs James Grimmelmann 68 0 0 06 Sep 2025
Applications and Challenges of Fairness APIs in Machine Learning SoftwareACM Transactions on Software Engineering and Methodology (TOSEM), 2025 Ajoy Das Gias Uddin Shaiful Chowdhury Mostafijur Rahman Akhond Hadi Hemmati FaML 104 0 0 22 Aug 2025
Sequential Cohort Selection Hortence Phalonne Nana Christos Dimitrakakis 74 0 0 22 Aug 2025
Kernel-based Equalized Odds: A Quantification of Accuracy-Fairness Trade-off in Fair Representation Learning Yijin Ni Xiaoming Huo 56 0 0 20 Aug 2025
Addressing Bias in VLMs for Glaucoma Detection Without Protected Attribute Supervision Ahsan Habib Akash Greg Murray Annahita Amireskandari Joel Palko Carol Laxson Binod Bhattarai P. Gyawali VLM 44 0 0 12 Aug 2025
Algorithmic Fairness amid Social Determinants: Reflection, Characterization, and Approach Zeyu Tang Alex John London Atoosa Kasirzadeh Sanmi Koyejo Peter Spirtes Kun Zhang FaML 108 0 0 10 Aug 2025
I Think, Therefore I Am Under-Qualified? A Benchmark for Evaluating Linguistic Shibboleth Detection in LLM Hiring Evaluations Julia Kharchenko Tanya Roosta Aman Chadha Chirag Shah 68 1 0 06 Aug 2025
Co-Producing AI: Toward an Augmented, Participatory Lifecycle Rashid Mushkani Hugo Berard Toumadher Ammar Cassandre Chatonnier Shin Koseki 82 1 0 31 Jul 2025
Fair CCA for Fair Representation Learning: An ADNI Study Bojian Hou Zhanliang Wang Zhuoping Zhou Boning Tong Zexuan Wang J. Bao D. Duong-Tran Q. Long Li Shen FaML OOD CML 167 1 0 12 Jul 2025
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 113 0 0 20 Jun 2025
Operationalizing Automated Essay Scoring: A Human-Aware Approach Yenisel Plasencia-Calaña 34 1 0 19 Jun 2025
Path-specific effects for pulse-oximetry guided decisions in critical care Kevin Zhang Yonghan Jung Divyat Mahajan Karthikeyan Shanmugam Shalmali Joshi CML 167 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 142 2 0 13 Jun 2025
Fairness Overfitting in Machine Learning: An Information-Theoretic Perspective Firas Laakom Haobo Chen Jürgen Schmidhuber Yuheng Bu 116 1 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 234 2 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 129 1 0 02 Jun 2025
AI Data Development: A Scorecard for the System Card Framework Tadesse K. Bahiru Haileleol Tibebu Ioannis A. Kakadiaris 117 1 0 02 Jun 2025
Differential privacy for medical deep learning: methods, tradeoffs, and deployment implications Marziyeh Mohammadi Mohsen Vejdanihemmat Mahshad Lotfinia M. Rusu Daniel Truhn Andreas K. Maier Soroosh Tayebi Arasteh 155 1 0 31 May 2025
Bridging Distribution Shift and AI Safety: Conceptual and Methodological Synergies Chenruo Liu Kenan Tang Yao Qin Qi Lei 166 1 0 28 May 2025
Reconsidering Fairness Through Unawareness From the Perspective of Model Multiplicity Benedikt Höltgen Nuria Oliver FaML 137 1 0 22 May 2025
Fair Supervised Learning Through Constraints on Smooth Nonconvex Unfairness-Measure Surrogates Zahra Khatti Daniel P. Robinson Frank E. Curtis 89 0 0 21 May 2025
Algorithmic Hiring and Diversity: Reducing Human-Algorithm Similarity for Better Outcomes Prasanna Parasurama Panos Ipeirotis FaML 187 1 0 20 May 2025
When majority rules, minority loses: bias amplification of gradient descent François Bachoc Jérôme Bolte Ryan Boustany Jean-Michel Loubes FaML 265 1 0 19 May 2025
Unveil Sources of Uncertainty: Feature Contribution to Conformal Prediction Intervals Marouane Il Idrissi Agathe Fernandes Machado Ewen Gallic Arthur Charpentier 428 1 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 99 0 0 18 May 2025
Fairness-aware Anomaly Detection via Fair Projection Feng Xiao Xiaoying Tang Jicong Fan 220 0 0 16 May 2025
FairZK: A Scalable System to Prove Machine Learning Fairness in Zero-KnowledgeIEEE Symposium on Security and Privacy (S&P), 2025 Tianyu Zhang Shen Dong O. Deniz Kose Yanning Shen Yanzhe Zhang FaML 203 2 0 12 May 2025
Fairness Perceptions in Regression-based Predictive Models Mukund Telukunta Venkata Sriram Siddhardh Nadendla Morgan Stuart Casey Canfield 177 0 0 08 May 2025
FairPO: Robust Preference Optimization for Fair Multi-Label Learning Soumen Kumar Mondal Akshit Varmora Prateek Chanda Ganesh Ramakrishnan 211 0 0 05 May 2025
Quantitative Auditing of AI Fairness with Differentially Private Synthetic Data Chih-Cheng Rex Yuan Bow-Yaw Wang 254 1 0 30 Apr 2025
Three Types of Calibration with Properties and their Semantic and Formal Relationships Rabanus Derr Jessie Finocchiaro Robert C. Williamson 265 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 167 2 0 22 Apr 2025
Data Requirement Goal Modeling for Machine Learning Systems Asma Z. Yamani Nadeen AlAmoudi Salma Albilali Malak Baslyman Jameleddine Hassine AI4TS 131 0 0 10 Apr 2025
Uncovering Fairness through Data Complexity as an Early Indicator Juliett Suárez Ferreira Marija Slavkovik Jorge Casillas 177 0 0 08 Apr 2025
Am I Being Treated Fairly? A Conceptual Framework for Individuals to Ascertain Fairness Juliett Suárez Ferreira Marija Slavkovik Jorge Casillas FaML 248 0 0 03 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 356 66 0 03 Apr 2025
Taxonomizing Representational Harms using Speech Act TheoryAnnual Meeting of the Association for Computational Linguistics (ACL), 2025 Emily Corvi Hannah Washington Stefanie Reed Chad Atalla Alexandra Chouldechova ... Nicholas Pangakis Emily Sheng Dan Vann Matthew Vogel Hanna M. Wallach 183 2 0 01 Apr 2025
Attention IoU: Examining Biases in CelebA using Attention MapsComputer Vision and Pattern Recognition (CVPR), 2025 Aaron Serianni Tyler Zhu Olga Russakovsky V. V. Ramaswamy 225 1 0 25 Mar 2025