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
Evaluating Model Performance Under Worst-case Subpopulations Mike Li Hongseok Namkoong Shangzhou Xia 48 17 0 01 Jul 2024
Dataset Representativeness and Downstream Task Fairness Victor A. Borza Andrew Estornell Chien-Ju Ho Bradley Malin Yevgeniy Vorobeychik 30 0 0 28 Jun 2024
Evaluating AI Group Fairness: a Fuzzy Logic Perspective Emmanouil Krasanakis Symeon Papadopoulos 25 0 0 27 Jun 2024
Fair Clustering: Critique, Caveats, and Future Directions John Dickerson Seyed-Alireza Esmaeili Jamie Morgenstern Claire Jie Zhang FaML 47 1 0 22 Jun 2024
AIM: Attributing, Interpreting, Mitigating Data Unfairness Zhining Liu Ruizhong Qiu Zhichen Zeng Yada Zhu Hendrik Hamann Hanghang Tong FaML 37 5 0 13 Jun 2024
When is Multicalibration Post-Processing Necessary? Dutch Hansen Siddartha Devic Preetum Nakkiran Vatsal Sharan 43 4 0 10 Jun 2024
A Unified View of Group Fairness Tradeoffs Using Partial Information Decomposition Faisal Hamman Sanghamitra Dutta 50 2 0 07 Jun 2024
Improving the Fairness of Deep-Learning, Short-term Crime Prediction with Under-reporting-aware Models Jiahui Wu Vanessa Frias-Martinez 24 0 0 06 Jun 2024
On the Power of Randomization in Fair Classification and Representation Sushant Agarwal Amit Deshpande FaML 45 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 43 10 0 31 May 2024
Algorithmic Fairness in Performative Policy Learning: Escaping the Impossibility of Group Fairness Seamus Somerstep Yaácov Ritov Yuekai Sun FaML 36 4 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 Bo-wen Li Dawn Song Peter Henderson Prateek Mittal AAML 51 11 0 29 May 2024
Towards Standardizing AI Bias Exploration Emmanouil Krasanakis Symeon Papadopoulos 38 3 0 29 May 2024
The Impossibility of Fair LLMs Jacy Reese Anthis Kristian Lum Michael Ekstrand Avi Feller Alexander D’Amour Chenhao Tan FaML 45 11 0 28 May 2024
On Fairness of Low-Rank Adaptation of Large Models Zhoujie Ding Ken Ziyu Liu Pura Peetathawatchai Berivan Isik Sanmi Koyejo 48 4 0 27 May 2024
Fairness-Accuracy Trade-Offs: A Causal Perspective Drago Plečko Elias Bareinboim 37 2 0 24 May 2024
Assessing Group Fairness with Social Welfare Optimization V. Chen J. N. Hooker Derek Leben 30 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 52 52 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 38 12 0 10 May 2024
Fair Risk Control: A Generalized Framework for Calibrating Multi-group Fairness Risks Lujing Zhang Aaron Roth Linjun Zhang FaML 19 6 0 03 May 2024
Individual Fairness Through Reweighting and Tuning A. J. Mahamadou Lea Goetz Russ B. Altman 28 0 0 02 May 2024
Multigroup Robustness Lunjia Hu Charlotte Peale Judy Hanwen Shen OOD 38 1 0 01 May 2024
Blind Spots and Biases: Exploring the Role of Annotator Cognitive Biases in NLP Sanjana Gautam Mukund Srinath 40 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 41 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 37 6 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 24 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 35 8 0 03 Apr 2024
FAIRM: Learning invariant representations for algorithmic fairness and domain generalization with minimax optimality Sai Li Linjun Zhang OOD FaML 64 1 0 02 Apr 2024
Addressing Both Statistical and Causal Gender Fairness in NLP Models Hannah Chen Yangfeng Ji David E. Evans 26 2 0 30 Mar 2024
The Pursuit of Fairness in Artificial Intelligence Models: A Survey Tahsin Alamgir Kheya Mohamed Reda Bouadjenek Sunil Aryal 36 8 0 26 Mar 2024
How to be fair? A study of label and selection bias Marco Favier T. Calders Sam Pinxteren Jonathan Meyer 33 9 0 21 Mar 2024
Specification Overfitting in Artificial Intelligence Benjamin Roth Pedro Henrique Luz de Araujo Yuxi Xia Saskia Kaltenbrunner Christoph Korab 58 0 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 47 0 0 12 Mar 2024
CLIP the Bias: How Useful is Balancing Data in Multimodal Learning? Ibrahim M. Alabdulmohsin Xiao Wang Andreas Steiner Priya Goyal Alexander DÁmour Xiao-Qi Zhai 39 16 0 07 Mar 2024
A challenge in A(G)I, cybernetics revived in the Ouroboros Model as one algorithm for all thinking Knud Thomsen 28 0 0 07 Mar 2024
FairBelief -- Assessing Harmful Beliefs in Language Models Mattia Setzu Marta Marchiori Manerba Pasquale Minervini Debora Nozza 26 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 40 43 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 19 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 40 2 0 22 Feb 2024
Fairness Evaluation for Uplift Modeling in the Absence of Ground Truth Serdar Kadioğlu Filip Michalsky 20 2 0 12 Feb 2024
Assessing Generalization for Subpopulation Representative Modeling via In-Context Learning Gabriel Simmons Vladislav Savinov 26 1 0 12 Feb 2024
Regression Trees for Fast and Adaptive Prediction Intervals Luben M. C. Cabezas Mateus P. Otto Rafael Izbicki R. Stern 26 4 0 12 Feb 2024
Geospatial Disparities: A Case Study on Real Estate Prices in Paris Agathe Fernandes Machado Franccois Hu Philipp Ratz E. Gallic Arthur Charpentier 35 1 0 29 Jan 2024
Fairness in Algorithmic Recourse Through the Lens of Substantive Equality of Opportunity Andrew Bell Joao Fonseca Carlo Abrate Francesco Bonchi Julia Stoyanovich FaML 33 2 0 29 Jan 2024
Omnipredictors for Regression and the Approximate Rank of Convex Functions Parikshit Gopalan Princewill Okoroafor Prasad Raghavendra Abhishek Shetty Mihir Singhal 43 6 0 26 Jan 2024
Class-attribute Priors: Adapting Optimization to Heterogeneity and Fairness Objective Xuechen Zhang Mingchen Li Jiasi Chen Christos Thrampoulidis Samet Oymak 34 3 0 25 Jan 2024
Reranking individuals: The effect of fair classification within-groups S. Goethals T. Calders FaML 38 1 0 24 Jan 2024
FairGridSearch: A Framework to Compare Fairness-Enhancing Models Shih-Chi Ma Tatiana Ermakova Benjamin Fabian FaML 18 0 0 04 Jan 2024
FairCompass: Operationalising Fairness in Machine Learning Jessica Liu Huaming Chen Jun Shen Kim-Kwang Raymond Choo FaML 32 6 0 27 Dec 2023
Beyond Fairness: Alternative Moral Dimensions for Assessing Algorithms and Designing Systems Kimi Wenzel Geoff F. Kaufman Laura A. Dabbish FaML 24 0 0 19 Dec 2023