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Inherent Trade-Offs in the Fair Determination of Risk Scores

19 September 2016

Papers citing "Inherent Trade-Offs in the Fair Determination of Risk Scores"

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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 25 0 0 20 Jun 2025
Aligning Evaluation with Clinical Priorities: Calibration, Label Shift, and Error Costs Gerardo Flores Alyssa H. Smith Julia A Fukuyama Ashia C. Wilson 44 0 0 17 Jun 2025
Gender Fairness of Machine Learning Algorithms for Pain Detection Dylan Green Yuting Shang Jiaee Cheong Yang Liu Hatice Gunes 38 0 0 10 Jun 2025
Fairness Overfitting in Machine Learning: An Information-Theoretic Perspective Firas Laakom Haobo Chen Jürgen Schmidhuber Yuheng Bu 19 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 130 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 53 0 0 02 Jun 2025
Fairness Practices in Industry: A Case Study in Machine Learning Teams Building Recommender Systems Jing Nathan Yan Junxiong Wang Jeffrey M. Rzeszotarski Allison Koenecke FaML 84 0 0 26 May 2025
Marginal Fairness: Fair Decision-Making under Risk Measures Fei Huang Silvana M. Pesenti 18 0 0 24 May 2025
Fair Supervised Learning Through Constraints on Smooth Nonconvex Unfairness-Measure Surrogates Zahra Khatti Daniel P. Robinson Frank E. Curtis 22 0 0 21 May 2025
Algorithmic Hiring and Diversity: Reducing Human-Algorithm Similarity for Better Outcomes Prasanna Parasurama Panos Ipeirotis FaML 103 0 0 20 May 2025
Laypeople's Attitudes Towards Fair, Affirmative, and Discriminatory Decision-Making Algorithms Gabriel Lima Nina Grgic-Hlaca Markus Langer Yixin Zou FaML 89 0 0 12 May 2025
Fairness Perceptions in Regression-based Predictive Models Mukund Telukunta Venkata Sriram Siddhardh Nadendla Morgan Stuart Casey Canfield 106 0 0 08 May 2025
Algorithmic Tradeoffs in Fair Lending: Profitability, Compliance, and Long-Term Impact Aayam Bansal FaML 39 0 0 08 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
Testing Individual Fairness in Graph Neural Networks Roya Nasiri 79 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 98 0 0 22 Apr 2025
Biased by Design: Leveraging Inherent AI Biases to Enhance Critical Thinking of News Readers L. Zavolokina Kilian Sprenkamp Zoya Katashinskaya Daniel Gordon Jones 86 0 0 20 Apr 2025
Fairness in Machine Learning-based Hand Load Estimation: A Case Study on Load Carriage Tasks Arafat Rahman Sol Lim Seokhyun Chung FaML 113 0 0 08 Apr 2025
Measuring the right thing: justifying metrics in AI impact assessments Stefan Buijsman Herman Veluwenkamp 62 0 0 07 Apr 2025
Semiparametric Counterfactual Regression Kwangho Kim OffRL 97 0 0 03 Apr 2025
Role and Use of Race in AI/ML Models Related to Health Martin C. Were Ang Li Bradley Malin Zhijun Yin Joseph R. Coco ... Laurie L. Novak Rachele Hendricks-Sturrup Abiodun Oluyomi Shilo Anders Chao Yan 80 0 0 01 Apr 2025
A Causal Framework to Measure and Mitigate Non-binary Treatment Discrimination A. Majumdar Deborah D. Kanubala Kavya Gupta Isabel Valera FaML 86 0 0 28 Mar 2025
AI Biases as Asymmetries: A Review to Guide Practice Gabriella Waters Phillip Honenberger 49 1 0 10 Mar 2025
Decoding the Black Box: Integrating Moral Imagination with Technical AI Governance Krti Tallam 76 1 0 09 Mar 2025
Fairness-aware organ exchange and kidney paired donation Mingrui Zhang Xiaowu Dai Lexin Li 64 0 0 09 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
Controlled Model Debiasing through Minimal and Interpretable Updates Federico Di Gennaro Thibault Laugel Vincent Grari Marcin Detyniecki FaML 139 0 0 28 Feb 2025
AI Mismatches: Identifying Potential Algorithmic Harms Before AI Development Devansh Saxena Ji-Youn Jung Jodi Forlizzi Kenneth Holstein John Zimmerman 138 3 0 25 Feb 2025
Revisiting the Berkeley Admissions data: Statistical Tests for Causal Hypotheses Sourbh Bhadane Joris Mooij Philip A. Boeken O. Zoeter 157 0 0 17 Feb 2025
The Cake that is Intelligence and Who Gets to Bake it: An AI Analogy and its Implications for Participation Martin Mundt Anaelia Ovalle Felix Friedrich A Pranav Subarnaduti Paul Manuel Brack Kristian Kersting William Agnew 733 0 0 05 Feb 2025
Privilege Scores Ludwig Bothmann Philip A. Boustani Jose M. Alvarez Giuseppe Casalicchio Bernd Bischl Susanne Dandl 74 0 0 03 Feb 2025
The Cost of Balanced Training-Data Production in an Online Data Market Augustin Chaintreau Roland Maio Juba Ziani 91 0 0 31 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 149 2 0 22 Jan 2025
Two Types of AI Existential Risk: Decisive and Accumulative Atoosa Kasirzadeh 150 18 0 20 Jan 2025
Does calibration mean what they say it means; or, the reference class problem rises again Lily Hu FaML 130 0 0 21 Dec 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 204 0 0 10 Nov 2024
Alpha and Prejudice: Improving $α$ -sized Worst-case Fairness via Intrinsic Reweighting Jing Li Yinghua Yao Yuangang Pan Xuanqian Wang Ivor Tsang Xiuju Fu FaML 82 0 0 05 Nov 2024
Engineering Trustworthy AI: A Developer Guide for Empirical Risk Minimization Diana Pfau Alexander Jung 75 1 0 25 Oct 2024
Revisiting Technical Bias Mitigation Strategies Abdoul Jalil Djiberou Mahamadou Artem A. Trotsyuk 116 1 0 22 Oct 2024
Text-to-Image Representativity Fairness Evaluation Framework Asma Z. Yamani Malak Baslyman 57 0 0 18 Oct 2024
DPFedBank: Crafting a Privacy-Preserving Federated Learning Framework for Financial Institutions with Policy Pillars Peilin He Chenkai Lin Isabella Montoya 49 0 0 17 Oct 2024
A Human-in-the-Loop Fairness-Aware Model Selection Framework for Complex Fairness Objective Landscapes Jake Robertson Thorsten Schmidt Frank Hutter Noor H. Awad 54 2 0 17 Oct 2024
The Disparate Benefits of Deep Ensembles Kajetan Schweighofer Adrián Arnaiz-Rodríguez Sepp Hochreiter Nuria Oliver FedML 86 1 0 17 Oct 2024
The Fragility of Fairness: Causal Sensitivity Analysis for Fair Machine Learning Jake Fawkes Nic Fishman Mel Andrews Zachary C. Lipton 109 1 0 12 Oct 2024
PFAttack: Stealthy Attack Bypassing Group Fairness in Federated Learning Jiashi Gao Ziwei Wang Xiangyu Zhao Xin Yao Xuetao Wei 102 0 0 09 Oct 2024
Uncertainty-Aware Fairness-Adaptive Classification Trees Anna Gottard Vanessa Verrina Sabrina Giordano 35 0 0 08 Oct 2024
Intuitions of Compromise: Utilitarianism vs. Contractualism Jared Moore Yejin Choi Sydney Levine 60 0 0 07 Oct 2024
From Transparency to Accountability and Back: A Discussion of Access and Evidence in AI Auditing Sarah H. Cen Rohan Alur 113 5 0 07 Oct 2024
Overcoming Representation Bias in Fairness-Aware data Repair using Optimal Transport Abigail Langbridge Anthony Quinn Robert Shorten 61 1 0 03 Oct 2024
Positive-Sum Fairness: Leveraging Demographic Attributes to Achieve Fair AI Outcomes Without Sacrificing Group Gains Samia Belhadj Sanguk Park Ambika Seth Hesham Dar Thijs Kooi 64 1 0 30 Sep 2024