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"

50 / 736 papers shown

Title
Laypeople's Attitudes Towards Fair, Affirmative, and Discriminatory Decision-Making Algorithms Gabriel Lima Nina Grgic-Hlaca Markus Langer Yixin Zou FaML 44 0 0 12 May 2025
Fairness Perceptions in Regression-based Predictive Models Mukund Telukunta Venkata Sriram Siddhardh Nadendla Morgan Stuart Casey Canfield 43 0 0 08 May 2025
Quantitative Auditing of AI Fairness with Differentially Private Synthetic Data Chih-Cheng Rex Yuan Bow-Yaw Wang 52 0 0 30 Apr 2025
Testing Individual Fairness in Graph Neural Networks Roya Nasiri 24 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 27 0 0 22 Apr 2025
Biased by Design: Leveraging AI Biases to Enhance Critical Thinking of News Readers L. Zavolokina Kilian Sprenkamp Zoya Katashinskaya Daniel Gordon Jones 41 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 51 0 0 08 Apr 2025
Measuring the right thing: justifying metrics in AI impact assessments Stefan Buijsman Herman Veluwenkamp 24 0 0 07 Apr 2025
Semiparametric Counterfactual Regression Kwangho Kim OffRL 33 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 38 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 54 0 0 28 Mar 2025
AI Biases as Asymmetries: A Review to Guide Practice Gabriella Waters Phillip Honenberger 37 0 0 10 Mar 2025
Decoding the Black Box: Integrating Moral Imagination with Technical AI Governance Krti Tallam 41 1 0 09 Mar 2025
Fairness-aware organ exchange and kidney paired donation Mingrui Zhang Xiaowu Dai Lexin Li 39 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 ALM ELM 43 0 0 03 Mar 2025
Controlled Model Debiasing through Minimal and Interpretable Updates Federico Di Gennaro Thibault Laugel Vincent Grari Marcin Detyniecki FaML 54 0 0 28 Feb 2025
AI Mismatches: Identifying Potential Algorithmic Harms Before AI Development Devansh Saxena Ji-Youn Jung J. Forlizzi Kenneth Holstein J. Zimmerman 71 0 0 25 Feb 2025
Revisiting the Berkeley Admissions data: Statistical Tests for Causal Hypotheses Sourbh Bhadane Joris Mooij Philip A. Boeken O. Zoeter 64 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 289 0 0 05 Feb 2025
Privilege Scores Ludwig Bothmann Philip A. Boustani Jose M. Alvarez Giuseppe Casalicchio Bernd Bischl Susanne Dandl 57 0 0 03 Feb 2025
The Cost of Balanced Training-Data Production in an Online Data Market Augustin Chaintreau Roland Maio Juba Ziani 58 0 0 31 Jan 2025
It's complicated. The relationship of algorithmic fairness and non-discrimination regulations in the EU AI Act Kristof Meding FaML 68 1 0 22 Jan 2025
Two Types of AI Existential Risk: Decisive and Accumulative Atoosa Kasirzadeh 65 14 0 20 Jan 2025
Does calibration mean what they say it means; or, the reference class problem rises again Lily Hu FaML 73 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 70 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 37 0 0 05 Nov 2024
Engineering Trustworthy AI: A Developer Guide for Empirical Risk Minimization Diana Pfau Alexander Jung 26 0 0 25 Oct 2024
Revisiting Technical Bias Mitigation Strategies Abdoul Jalil Djiberou Mahamadou Artem A. Trotsyuk 31 0 0 22 Oct 2024
Text-to-Image Representativity Fairness Evaluation Framework Asma Z. Yamani Malak Baslyman 23 0 0 18 Oct 2024
The Disparate Benefits of Deep Ensembles Kajetan Schweighofer Adrián Arnaiz-Rodríguez Sepp Hochreiter Nuria Oliver FedML 28 1 0 17 Oct 2024
DPFedBank: Crafting a Privacy-Preserving Federated Learning Framework for Financial Institutions with Policy Pillars Peilin He Chenkai Lin Isabella Montoya 17 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 38 0 0 17 Oct 2024
The Fragility of Fairness: Causal Sensitivity Analysis for Fair Machine Learning Jake Fawkes Nic Fishman Mel Andrews Zachary C. Lipton 40 1 0 12 Oct 2024
PFAttack: Stealthy Attack Bypassing Group Fairness in Federated Learning Jiashi Gao Ziwei Wang Xiangyu Zhao Xin Yao Xuetao Wei 25 0 0 09 Oct 2024
Uncertainty-Aware Fairness-Adaptive Classification Trees Anna Gottard Vanessa Verrina Sabrina Giordano 16 0 0 08 Oct 2024
Intuitions of Compromise: Utilitarianism vs. Contractualism Jared Moore Yejin Choi Sydney Levine 33 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 29 1 0 07 Oct 2024
Overcoming Representation Bias in Fairness-Aware data Repair using Optimal Transport Abigail Langbridge Anthony Quinn Robert Shorten 29 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 27 1 0 30 Sep 2024
ABCFair: an Adaptable Benchmark approach for Comparing Fairness Methods Marybeth Defrance Maarten Buyl Tijl De Bie 36 3 0 25 Sep 2024
Perceptions of the Fairness Impacts of Multiplicity in Machine Learning Anna P. Meyer Yea-Seul Kim Aws Albarghouthi Loris DÁntoni FaML 26 1 0 18 Sep 2024
Evaluating Fairness in Transaction Fraud Models: Fairness Metrics, Bias Audits, and Challenges Parameswaran Kamalaruban Yulu Pi Stuart Burrell Eleanor Drage Piotr Skalski Jason Wong David Sutton 28 1 0 06 Sep 2024
Post-processing fairness with minimal changes Federico Di Gennaro Thibault Laugel Vincent Grari X. Renard Marcin Detyniecki 27 1 0 27 Aug 2024
Ensuring Fairness with Transparent Auditing of Quantitative Bias in AI Systems Chih-Cheng Rex Yuan Bow-Yaw Wang 27 2 0 24 Aug 2024
Uncovering Biases with Reflective Large Language Models Edward Y. Chang 24 0 0 24 Aug 2024
On the KL-Divergence-based Robust Satisficing Model Haojie Yan Minglong Zhou Jiayi Guo 31 0 0 17 Aug 2024
"Patriarchy Hurts Men Too." Does Your Model Agree? A Discussion on Fairness Assumptions Marco Favier Zhijun Li 18 0 0 01 Aug 2024
Fair Overlap Number of Balls (Fair-ONB): A Data-Morphology-based Undersampling Method for Bias Reduction José Daniel Pascual-Triana Alberto Fernández Paulo Novais Francisco Herrera 22 0 0 19 Jul 2024
The Better Angels of Machine Personality: How Personality Relates to LLM Safety Jie Zhang Dongrui Liu Chao Qian Ziyue Gan Yong-jin Liu Yu Qiao Jing Shao LLMAG PILM 50 12 0 17 Jul 2024
Fair Submodular Cover Wenjing Chen Shuo Xing Samson Zhou Victoria G. Crawford 32 2 0 05 Jul 2024