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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
A Human-Centric Perspective on Fairness and Transparency in Algorithmic Decision-Making Jakob Schoeffer FaML 56 3 0 29 Apr 2022
Probabilistic Permutation Graph Search: Black-Box Optimization for Fairness in Ranking Ali Vardasbi F. Sarvi Maarten de Rijke 57 10 0 28 Apr 2022
System Analysis for Responsible Design of Modern AI/ML Systems Virginia Goodwin R. Caceres 57 0 0 19 Apr 2022
The Equity Framework: Fairness Beyond Equalized Predictive Outcomes Keziah Naggita J. C. Aguma FaML 66 3 0 18 Apr 2022
Achieving Representative Data via Convex Hull Feasibility Sampling Algorithms Laura Niss Yuekai Sun Ambuj Tewari FaML 24 5 0 13 Apr 2022
Fair Algorithm Design: Fair and Efficacious Machine Scheduling April Niu Agnes Totschnig A. Vetta FaML 67 3 0 13 Apr 2022
Mitigating Bias in Facial Analysis Systems by Incorporating Label Diversity Camila Kolling Victor Araujo Adriano Veloso S. Musse 47 3 0 13 Apr 2022
Marrying Fairness and Explainability in Supervised Learning Przemyslaw A. Grabowicz Nicholas Perello Aarshee Mishra FaML 92 45 0 06 Apr 2022
Last Layer Re-Training is Sufficient for Robustness to Spurious Correlations Polina Kirichenko Pavel Izmailov A. Wilson OOD 121 339 0 06 Apr 2022
Addressing Missing Sources with Adversarial Support-Matching T. Kehrenberg Myles Bartlett V. Sharmanska Novi Quadrianto 25 1 0 24 Mar 2022
Improving the Fairness of Chest X-ray Classifiers Haoran Zhang Natalie Dullerud Karsten Roth Lauren Oakden-Rayner Stephen Pfohl Marzyeh Ghassemi 90 67 0 23 Mar 2022
Representation Bias in Data: A Survey on Identification and Resolution Techniques N. Shahbazi Yin Lin Abolfazl Asudeh H. V. Jagadish 90 79 0 22 Mar 2022
Why we need biased AI -- How including cognitive and ethical machine biases can enhance AI systems Sarah Fabi Thilo Hagendorff 70 12 0 18 Mar 2022
Cross-model Fairness: Empirical Study of Fairness and Ethics Under Model Multiplicity Kacper Sokol Meelis Kull J. Chan Flora D. Salim 83 8 0 14 Mar 2022
Evaluating Proposed Fairness Models for Face Recognition Algorithms John J. Howard Eli J. Laird Yevgeniy B. Sirotin Rebecca E. Rubin Jerry L. Tipton A. Vemury CVBM 64 24 0 09 Mar 2022
Towards a Responsible AI Development Lifecycle: Lessons From Information Security Erick Galinkin SILM 47 6 0 06 Mar 2022
Low-Degree Multicalibration Parikshit Gopalan Michael P. Kim M. Singhal Shengjia Zhao FaML UQCV 106 41 0 02 Mar 2022
System Cards for AI-Based Decision-Making for Public Policy Furkan Gursoy I. Kakadiaris MLAU 78 16 0 01 Mar 2022
Selection, Ignorability and Challenges With Causal Fairness Jake Fawkes R. Evans Dino Sejdinovic 163 19 0 28 Feb 2022
Fast Feature Selection with Fairness Constraints Francesco Quinzan Rajiv Khanna Moshik Hershcovitch S. Cohen Daniel Waddington Tobias Friedrich Michael W. Mahoney 55 4 0 28 Feb 2022
A Fair Empirical Risk Minimization with Generalized Entropy Young-Hwan Jin Jio Gim Tae-Jin Lee Young-Joo Suh FaML 107 1 0 24 Feb 2022
Attainability and Optimality: The Equalized Odds Fairness Revisited Zeyu Tang Kun Zhang FaML 49 12 0 24 Feb 2022
Fairness-Aware Naive Bayes Classifier for Data with Multiple Sensitive Features Stelios Boulitsakis-Logothetis FaML 83 5 0 23 Feb 2022
Why Fair Labels Can Yield Unfair Predictions: Graphical Conditions for Introduced Unfairness Carolyn Ashurst Ryan Carey Silvia Chiappa Tom Everitt FaML 98 15 0 22 Feb 2022
Are There Exceptions to Goodhart's Law? On the Moral Justification of Fairness-Aware Machine Learning Hilde J. P. Weerts Lambèr M. M. Royakkers Mykola Pechenizkiy FaML 48 8 0 17 Feb 2022
On Learning and Enforcing Latent Assessment Models using Binary Feedback from Human Auditors Regarding Black-Box Classifiers Mukund Telukunta Venkata Sriram Siddhardh Nadendla MLAU FaML 57 0 0 16 Feb 2022
PrivFair: a Library for Privacy-Preserving Fairness Auditing Sikha Pentyala David Melanson Martine De Cock G. Farnadi MLAU 82 6 0 08 Feb 2022
Cascaded Debiasing: Studying the Cumulative Effect of Multiple Fairness-Enhancing Interventions Bhavya Ghai Mihir A. Mishra Klaus Mueller 67 7 0 08 Feb 2022
Net benefit, calibration, threshold selection, and training objectives for algorithmic fairness in healthcare Stephen Pfohl Yizhe Xu Agata Foryciarz Nikolaos Ignatiadis Julian Z. Genkins N. Shah 71 32 0 03 Feb 2022
FORML: Learning to Reweight Data for Fairness Bobby Yan Skyler Seto N. Apostoloff FaML 88 11 0 03 Feb 2022
Fair Representation Clustering with Several Protected Classes Zhen Dai Yury Makarychev A. Vakilian FaML 120 9 0 03 Feb 2022
Improving Screening Processes via Calibrated Subset Selection Lequn Wang Thorsten Joachims Manuel Gomez Rodriguez CML 106 18 0 02 Feb 2022
Adaptive Sampling Strategies to Construct Equitable Training Datasets William Cai R. Encarnación Bobbie Chern S. Corbett-Davies Miranda Bogen Stevie Bergman Sharad Goel 164 30 0 31 Jan 2022
Fair Wrapping for Black-box Predictions Alexander Soen Ibrahim Alabdulmohsin Sanmi Koyejo Yishay Mansour Nyalleng Moorosi Richard Nock Ke Sun Lexing Xie FaML 107 6 0 31 Jan 2022
Promises and Challenges of Causality for Ethical Machine Learning Aida Rahmattalabi Alice Xiang FaML CML 162 8 0 26 Jan 2022
Towards Multi-Objective Statistically Fair Federated Learning Ninareh Mehrabi Cyprien de Lichy John McKay C. He William Campbell FedML 72 12 0 24 Jan 2022
Emergent Instabilities in Algorithmic Feedback Loops Keith Burghardt Kristina Lerman 45 1 0 18 Jan 2022
The Fairness Field Guide: Perspectives from Social and Formal Sciences Alycia N. Carey Xintao Wu FaML 46 6 0 13 Jan 2022
The Dataset Nutrition Label (2nd Gen): Leveraging Context to Mitigate Harms in Artificial Intelligence Kasia Chmielinski S. Newman Matt Taylor Joshua Joseph Kemi Thomas Jessica Yurkofsky Yue Qiu 76 53 0 10 Jan 2022
Fairness Score and Process Standardization: Framework for Fairness Certification in Artificial Intelligence Systems Avinash Agarwal Harshna Agarwal Nihaarika Agarwal 86 30 0 10 Jan 2022
A Framework for Fairness: A Systematic Review of Existing Fair AI Solutions Brianna Richardson J. Gilbert FaML 71 37 0 10 Dec 2021
Online Fair Revenue Maximizing Cake Division with Non-Contiguous Pieces in Adversarial Bandits Mohammad Ghodsi Amirmahdi Mirfakhar 56 2 0 29 Nov 2021
A Causal Approach for Unfair Edge Prioritization and Discrimination Removal Pavan Ravishankar Pranshu Malviya Balaraman Ravindran 105 1 0 29 Nov 2021
Fairness for AUC via Feature Augmentation H. Fong Vineet Kumar Anay Mehrotra Nisheeth K. Vishnoi 85 10 0 24 Nov 2021
Interpretable and Fair Boolean Rule Sets via Column Generation Connor Lawless S. Dash Oktay Gunluk Dennis L. Wei FaML 101 13 0 16 Nov 2021
Randomized Classifiers vs Human Decision-Makers: Trustworthy AI May Have to Act Randomly and Society Seems to Accept This Gábor Erdélyi Olivia J. Erdélyi V. Estivill-Castro FaML 34 3 0 15 Nov 2021
Local Justice and the Algorithmic Allocation of Societal Resources Sanmay Das 20 5 0 10 Nov 2021
Group-Aware Threshold Adaptation for Fair Classification T. Jang P. Shi Xiaoqian Wang FaML 125 38 0 08 Nov 2021
Increasing Fairness in Predictions Using Bias Parity Score Based Loss Function Regularization Bhanu Jain Manfred Huber R. Elmasri 33 2 0 05 Nov 2021
Scaffolding Sets M. Burhanpurkar Zhun Deng Cynthia Dwork Linjun Zhang 83 9 0 04 Nov 2021