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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"

50 / 747 papers shown

Title
ABCFair: an Adaptable Benchmark approach for Comparing Fairness Methods Marybeth Defrance Maarten Buyl Tijl De Bie 111 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 61 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 54 1 0 06 Sep 2024
Post-processing fairness with minimal changes Federico Di Gennaro Thibault Laugel Vincent Grari X. Renard Marcin Detyniecki 70 1 0 27 Aug 2024
Ensuring Fairness with Transparent Auditing of Quantitative Bias in AI Systems Chih-Cheng Rex Yuan Bow-Yaw Wang 64 3 0 24 Aug 2024
Uncovering Biases with Reflective Large Language Models Edward Y. Chang 28 0 0 24 Aug 2024
On the KL-Divergence-based Robust Satisficing Model Haojie Yan Minglong Zhou Jiayi Guo 67 0 0 17 Aug 2024
"Patriarchy Hurts Men Too." Does Your Model Agree? A Discussion on Fairness Assumptions Marco Favier Zhijun Li 40 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 47 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 Liu Yu Qiao Jing Shao LLMAG PILM 101 12 0 17 Jul 2024
Fair Submodular Cover Wenjing Chen Shuo Xing Samson Zhou Victoria G. Crawford 54 3 0 05 Jul 2024
Evaluating Model Performance Under Worst-case Subpopulations Mike Li Hongseok Namkoong Shangzhou Xia 103 18 0 01 Jul 2024
Dataset Representativeness and Downstream Task Fairness Victor A. Borza Andrew Estornell Chien-Ju Ho Bradley Malin Yevgeniy Vorobeychik 61 0 0 28 Jun 2024
Evaluating AI Group Fairness: a Fuzzy Logic Perspective Emmanouil Krasanakis Symeon Papadopoulos 78 0 0 27 Jun 2024
Fair Clustering: Critique, Caveats, and Future Directions John Dickerson Seyed-Alireza Esmaeili Jamie Morgenstern Claire Jie Zhang FaML 74 1 0 22 Jun 2024
AIM: Attributing, Interpreting, Mitigating Data Unfairness Zhining Liu Ruizhong Qiu Zhichen Zeng Yada Zhu Hendrik Hamann Hanghang Tong FaML 97 7 0 13 Jun 2024
When is Multicalibration Post-Processing Necessary? Dutch Hansen Siddartha Devic Preetum Nakkiran Vatsal Sharan 95 8 0 10 Jun 2024
A Unified View of Group Fairness Tradeoffs Using Partial Information Decomposition Faisal Hamman Sanghamitra Dutta 96 3 0 07 Jun 2024
Improving the Fairness of Deep-Learning, Short-term Crime Prediction with Under-reporting-aware Models Jiahui Wu Vanessa Frias-Martinez 61 0 0 06 Jun 2024
On the Power of Randomization in Fair Classification and Representation Sushant Agarwal Amit Deshpande FaML 83 5 0 05 Jun 2024
Can Machine Learning Assist in Diagnosis of Primary Immune Thrombocytopenia? A feasibility study Haroon Miah Dimitrios Kollias G. Pedone D. Provan Frederick Chen 87 12 0 31 May 2024
Algorithmic Fairness in Performative Policy Learning: Escaping the Impossibility of Group Fairness Seamus Somerstep Yaácov Ritov Yuekai Sun FaML 90 5 0 30 May 2024
AI Risk Management Should Incorporate Both Safety and Security Xiangyu Qi Yangsibo Huang Yi Zeng Edoardo Debenedetti Jonas Geiping ... Chaowei Xiao Yue Liu Dawn Song Peter Henderson Prateek Mittal AAML 117 12 0 29 May 2024
Towards Standardizing AI Bias Exploration Emmanouil Krasanakis Symeon Papadopoulos 100 3 0 29 May 2024
The Impossibility of Fair LLMs Jacy Reese Anthis Kristian Lum Michael Ekstrand Avi Feller Alexander D’Amour FaML 130 14 0 28 May 2024
On Fairness of Low-Rank Adaptation of Large Models Zhoujie Ding Ken Ziyu Liu Pura Peetathawatchai Berivan Isik Sanmi Koyejo 81 5 0 27 May 2024
Fairness-Accuracy Trade-Offs: A Causal Perspective Drago Plečko Elias Bareinboim 77 3 0 24 May 2024
Assessing Group Fairness with Social Welfare Optimization V. Chen J. N. Hooker Derek Leben 57 0 0 19 May 2024
Towards Guaranteed Safe AI: A Framework for Ensuring Robust and Reliable AI Systems David Dalrymple Joar Skalse Yoshua Bengio Stuart J. Russell Max Tegmark ... Clark Barrett Ding Zhao Zhi-Xuan Tan Jeannette Wing Joshua Tenenbaum 132 62 0 10 May 2024
What Can Natural Language Processing Do for Peer Review? Ilia Kuznetsov Osama Mohammed Afzal Koen Dercksen Nils Dycke Alexander Goldberg ... Jingyan Wang Xiaodan Zhu Anna Rogers Nihar B. Shah Iryna Gurevych 89 14 0 10 May 2024
Fair Risk Control: A Generalized Framework for Calibrating Multi-group Fairness Risks Lujing Zhang Aaron Roth Linjun Zhang FaML 175 9 0 03 May 2024
Individual Fairness Through Reweighting and Tuning A. J. Mahamadou Lea Goetz Russ B. Altman 78 0 0 02 May 2024
Multigroup Robustness Lunjia Hu Charlotte Peale Judy Hanwen Shen OOD 128 1 0 01 May 2024
Blind Spots and Biases: Exploring the Role of Annotator Cognitive Biases in NLP Sanjana Gautam Mukund Srinath 100 6 0 29 Apr 2024
Mapping the Potential of Explainable AI for Fairness Along the AI Lifecycle Luca Deck Astrid Schomacker Timo Speith Jakob Schöffer Lena Kästner Niklas Kühl 76 4 0 29 Apr 2024
Accounting for AI and Users Shaping One Another: The Role of Mathematical Models Sarah Dean Evan Dong Meena Jagadeesan Liu Leqi 82 8 0 18 Apr 2024
On Fixing the Right Problems in Predictive Analytics: AUC Is Not the Problem Ryan S. Baker Nigel Bosch Stephen Hutt A. F. Zambrano Alex J. Bowers CML 108 0 0 10 Apr 2024
Auditing the Use of Language Models to Guide Hiring Decisions Johann D. Gaebler Sharad Goel Aziz Huq Prasanna Tambe MLAU 89 12 0 03 Apr 2024
FAIRM: Learning invariant representations for algorithmic fairness and domain generalization with minimax optimality Sai Li Linjun Zhang OOD FaML 109 1 0 02 Apr 2024
Addressing Both Statistical and Causal Gender Fairness in NLP Models Hannah Chen Yangfeng Ji David Evans 82 4 0 30 Mar 2024
The Pursuit of Fairness in Artificial Intelligence Models: A Survey Tahsin Alamgir Kheya Mohamed Reda Bouadjenek Sunil Aryal 82 9 0 26 Mar 2024
How to be fair? A study of label and selection bias Marco Favier T. Calders Sam Pinxteren Jonathan Meyer 91 9 0 21 Mar 2024
Specification Overfitting in Artificial Intelligence Benjamin Roth Pedro Henrique Luz de Araujo Yuxi Xia Saskia Kaltenbrunner Christoph Korab 233 1 0 13 Mar 2024
Balancing Fairness and Accuracy in Data-Restricted Binary Classification Zachary McBride Lazri Danial Dervovic Antigoni Polychroniadou Ivan Brugere Dana Dachman-Soled Min Wu FaML 106 0 0 12 Mar 2024
CLIP the Bias: How Useful is Balancing Data in Multimodal Learning? Ibrahim Alabdulmohsin Xiao Wang Andreas Steiner Priya Goyal Alexander DÁmour Xiao-Qi Zhai 84 21 0 07 Mar 2024
A challenge in A(G)I, cybernetics revived in the Ouroboros Model as one algorithm for all thinking Knud Thomsen 57 0 0 07 Mar 2024
FairBelief -- Assessing Harmful Beliefs in Language Models Mattia Setzu Marta Marchiori Manerba Pasquale Minervini Debora Nozza 62 0 0 27 Feb 2024
Farsight: Fostering Responsible AI Awareness During AI Application Prototyping Zijie J. Wang Chinmay Kulkarni Lauren Wilcox Michael Terry Michael A. Madaio 77 50 0 23 Feb 2024
A Causal Framework to Evaluate Racial Bias in Law Enforcement Systems Jessy Xinyi Han Andrew Miller S. C. Watkins Christopher Winship Fotini Christia Devavrat Shah 35 1 0 22 Feb 2024
Federated Fairness without Access to Sensitive Groups Afroditi Papadaki Natalia Martínez Martín Bertrán Guillermo Sapiro Miguel R. D. Rodrigues FedML 79 2 0 22 Feb 2024