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
Why we need biased AI -- How including cognitive and ethical machine biases can enhance AI systems Sarah Fabi Thilo Hagendorff 30 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 37 6 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 19 22 0 09 Mar 2022
Towards a Responsible AI Development Lifecycle: Lessons From Information Security Erick Galinkin SILM 21 6 0 06 Mar 2022
Low-Degree Multicalibration Parikshit Gopalan Michael P. Kim M. Singhal Shengjia Zhao FaML UQCV 22 37 0 02 Mar 2022
System Cards for AI-Based Decision-Making for Public Policy Furkan Gursoy I. Kakadiaris MLAU 34 14 0 01 Mar 2022
Selection, Ignorability and Challenges With Causal Fairness Jake Fawkes R. Evans Dino Sejdinovic 86 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 11 3 0 28 Feb 2022
A Fair Empirical Risk Minimization with Generalized Entropy Young-Hwan Jin Jio Gim Tae-Jin Lee Young-Joo Suh FaML 22 1 0 24 Feb 2022
Attainability and Optimality: The Equalized Odds Fairness Revisited Zeyu Tang Kun Zhang FaML 21 11 0 24 Feb 2022
Fairness-Aware Naive Bayes Classifier for Data with Multiple Sensitive Features Stelios Boulitsakis-Logothetis FaML 24 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 42 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 17 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 20 0 0 16 Feb 2022
PrivFair: a Library for Privacy-Preserving Fairness Auditing Sikha Pentyala David Melanson Martine De Cock G. Farnadi MLAU 19 6 0 08 Feb 2022
Cascaded Debiasing: Studying the Cumulative Effect of Multiple Fairness-Enhancing Interventions Bhavya Ghai Mihir A. Mishra Klaus Mueller 32 7 0 08 Feb 2022
Net benefit, calibration, threshold selection, and training objectives for algorithmic fairness in healthcare Stephen R. Pfohl Yizhe Xu Agata Foryciarz Nikolaos Ignatiadis Julian Z. Genkins N. Shah 25 29 0 03 Feb 2022
FORML: Learning to Reweight Data for Fairness Bobby Yan Skyler Seto N. Apostoloff FaML 29 11 0 03 Feb 2022
Fair Representation Clustering with Several Protected Classes Zhen Dai Yury Makarychev A. Vakilian FaML 73 9 0 03 Feb 2022
Improving Screening Processes via Calibrated Subset Selection Lequn Wang Thorsten Joachims Manuel Gomez Rodriguez CML 45 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 89 30 0 31 Jan 2022
Fair Wrapping for Black-box Predictions Alexander Soen Ibrahim M. Alabdulmohsin Sanmi Koyejo Yishay Mansour Nyalleng Moorosi Richard Nock Ke Sun Lexing Xie FaML 53 6 0 31 Jan 2022
Promises and Challenges of Causality for Ethical Machine Learning Aida Rahmattalabi Alice Xiang FaML CML 128 8 0 26 Jan 2022
Towards Multi-Objective Statistically Fair Federated Learning Ninareh Mehrabi Cyprien de Lichy John McKay C. He William Campbell FedML 30 9 0 24 Jan 2022
Emergent Instabilities in Algorithmic Feedback Loops Keith Burghardt Kristina Lerman 17 1 0 18 Jan 2022
The Fairness Field Guide: Perspectives from Social and Formal Sciences Alycia N. Carey Xintao Wu FaML 30 5 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 33 51 0 10 Jan 2022
Fairness Score and Process Standardization: Framework for Fairness Certification in Artificial Intelligence Systems Avinash Agarwal Harshna Agarwal Nihaarika Agarwal 42 28 0 10 Jan 2022
A Framework for Fairness: A Systematic Review of Existing Fair AI Solutions Brianna Richardson J. Gilbert FaML 29 35 0 10 Dec 2021
Online Fair Revenue Maximizing Cake Division with Non-Contiguous Pieces in Adversarial Bandits Mohammad Ghodsi Amirmahdi Mirfakhar 30 2 0 29 Nov 2021
A Causal Approach for Unfair Edge Prioritization and Discrimination Removal Pavan Ravishankar Pranshu Malviya Balaraman Ravindran 33 1 0 29 Nov 2021
Fairness for AUC via Feature Augmentation H. Fong Vineet Kumar Anay Mehrotra Nisheeth K. Vishnoi 34 10 0 24 Nov 2021
Interpretable and Fair Boolean Rule Sets via Column Generation Connor Lawless S. Dash Oktay Gunluk Dennis L. Wei FaML 21 12 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 25 3 0 15 Nov 2021
Local Justice and the Algorithmic Allocation of Societal Resources Sanmay Das 11 4 0 10 Nov 2021
Group-Aware Threshold Adaptation for Fair Classification T. Jang P. Shi Xiaoqian Wang FaML 88 36 0 08 Nov 2021
Increasing Fairness in Predictions Using Bias Parity Score Based Loss Function Regularization Bhanu Jain Manfred Huber R. Elmasri 25 1 0 05 Nov 2021
Scaffolding Sets M. Burhanpurkar Zhun Deng Cynthia Dwork Linjun Zhang 41 9 0 04 Nov 2021
Fair-SSL: Building fair ML Software with less data Joymallya Chakraborty Suvodeep Majumder Huy Tu SyDa 19 5 0 03 Nov 2021
On the Current and Emerging Challenges of Developing Fair and Ethical AI Solutions in Financial Services Eren Kurshan Jiahao Chen Victor Storchan Hongda Shen FaML AIFin 39 9 0 02 Nov 2021
Unintended Selection: Persistent Qualification Rate Disparities and Interventions Reilly P. Raab Yang Liu 15 24 0 01 Nov 2021
On the Fairness of Machine-Assisted Human Decisions Talia B. Gillis Bryce Mclaughlin Jann Spiess FaML 29 16 0 28 Oct 2021
Fair Enough: Searching for Sufficient Measures of Fairness Suvodeep Majumder Joymallya Chakraborty Gina R. Bai Kathryn T. Stolee Tim Menzies 25 26 0 25 Oct 2021
Fair Tree Classifier using Strong Demographic Parity António Pereira Barata Frank W. Takes H. J. Herik C. Veenman 24 12 0 18 Oct 2021
Fair Regression under Sample Selection Bias Wei Du Xintao Wu Hanghang Tong 24 4 0 08 Oct 2021
Unpacking the Black Box: Regulating Algorithmic Decisions Laura Blattner Scott Nelson Jann Spiess MLAU FaML 28 19 0 05 Oct 2021
Trustworthy AI: From Principles to Practices Bo Li Peng Qi Bo Liu Shuai Di Jingen Liu Jiquan Pei Jinfeng Yi Bowen Zhou 121 357 0 04 Oct 2021
Consider the Alternatives: Navigating Fairness-Accuracy Tradeoffs via Disqualification G. Rothblum G. Yona FaML 35 1 0 02 Oct 2021
Algorithm Fairness in AI for Medicine and Healthcare Richard J. Chen Tiffany Y. Chen Jana Lipkova Judy J. Wang Drew F. K. Williamson Ming Y. Lu S. Sahai Faisal Mahmood FaML 75 45 0 01 Oct 2021
Fairness-Driven Private Collaborative Machine Learning Dana Pessach Tamir Tassa E. Shmueli FedML 33 7 0 29 Sep 2021