Fair prediction with disparate impact: A study of bias in recidivism prediction instruments

24 October 2016

Papers citing "Fair prediction with disparate impact: A study of bias in recidivism prediction instruments"

50 / 858 papers shown

Title
Constructing Fair Latent Space for Intersection of Fairness and Explainability Hyungjun Joo Hyeonggeun Han Sehwan Kim Sangwoo Hong Jungwoo Lee 106 0 0 23 Dec 2024
Fair and Accurate Regression: Strong Formulations and Algorithms Anna Deza Andrés Gómez Alper Atamturk FaML 155 0 0 22 Dec 2024
Does calibration mean what they say it means; or, the reference class problem rises again Lily Hu FaML 130 0 0 21 Dec 2024
Who's the (Multi-)Fairest of Them All: Rethinking Interpolation-Based Data Augmentation Through the Lens of Multicalibration Karina Halevy Karly Hou Charumathi Badrinath 248 0 0 13 Dec 2024
Improving LLM Group Fairness on Tabular Data via In-Context Learning Valeriia Cherepanova Chia-Jung Lee Nil-Jana Akpinar Riccardo Fogliato Martín Bertrán Michael Kearns James Zou LMTD 182 1 0 05 Dec 2024
Data Acquisition for Improving Model Fairness using Reinforcement Learning Jahid Hasan Romila Pradhan 79 0 0 04 Dec 2024
Towards Utilising a Range of Neural Activations for Comprehending Representational Associations Laura O'Mahony Nikola S. Nikolov David JP O'Sullivan 148 0 0 15 Nov 2024
SAFES: Sequential Privacy and Fairness Enhancing Data Synthesis for Responsible AI S. Giddens Fan Liu 52 0 0 14 Nov 2024
TowerDebias: A Novel Unfairness Removal Method Based on the Tower Property Norman Matloff Aditya Mittal 56 0 0 13 Nov 2024
Properties of fairness measures in the context of varying class imbalance and protected group ratios D. Brzezinski Julia Stachowiak Jerzy Stefanowski Izabela Szczech R. Susmaga Sofya Aksenyuk Uladzimir Ivashka Oleksandr Yasinskyi 250 6 0 13 Nov 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 200 0 0 10 Nov 2024
A Simple Remedy for Dataset Bias via Self-Influence: A Mislabeled Sample Perspective Yeonsung Jung Jaeyun Song J. Yang Jin-Hwa Kim Sung-Yub Kim Eunho Yang 156 2 0 01 Nov 2024
Engineering Trustworthy AI: A Developer Guide for Empirical Risk Minimization Diana Pfau Alexander Jung 75 1 0 25 Oct 2024
Revisiting Technical Bias Mitigation Strategies Abdoul Jalil Djiberou Mahamadou Artem A. Trotsyuk 116 1 0 22 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 54 2 0 17 Oct 2024
The Disparate Benefits of Deep Ensembles Kajetan Schweighofer Adrián Arnaiz-Rodríguez Sepp Hochreiter Nuria Oliver FedML 86 1 0 17 Oct 2024
FAIREDU: A Multiple Regression-Based Method for Enhancing Fairness in Machine Learning Models for Educational Applications Nga Pham Minh Kha Do Tran Vu Dai Pham Ngoc Hung Anh Nguyen-Duc 56 0 0 08 Oct 2024
From Transparency to Accountability and Back: A Discussion of Access and Evidence in AI Auditing Sarah H. Cen Rohan Alur 113 5 0 07 Oct 2024
Social Choice for Heterogeneous Fairness in Recommendation Amanda A. Aird Elena Stefancova Cassidy All A. Voida Martin Homola Nicholas Mattei Robin Burke FaML 101 0 0 06 Oct 2024
Rethinking Fair Representation Learning for Performance-Sensitive Tasks Charles Jones Fabio De Sousa Ribeiro Mélanie Roschewitz Daniel Coelho De Castro Ben Glocker FaML OOD CML 279 2 0 05 Oct 2024
Is it Still Fair? A Comparative Evaluation of Fairness Algorithms through the Lens of Covariate Drift Oscar Blessed Deho Michael Bewong Selasi Kwashie Jiuyong Li Jixue Liu Lin Liu Srecko Joksimovic FaML 84 0 0 19 Sep 2024
Perceptions of the Fairness Impacts of Multiplicity in Machine Learning Anna P. Meyer Yea-Seul Kim Aws Albarghouthi Loris DÁntoni FaML 59 1 0 18 Sep 2024
OATH: Efficient and Flexible Zero-Knowledge Proofs of End-to-End ML Fairness Olive Franzese Ali Shahin Shamsabadi Hamed Haddadi 49 3 0 17 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
Enhancing Fairness through Reweighting: A Path to Attain the Sufficiency Rule Xuan Zhao Klaus Broelemann Salvatore Ruggieri Gjergji Kasneci 80 0 0 26 Aug 2024
Ensuring Fairness with Transparent Auditing of Quantitative Bias in AI Systems Chih-Cheng Rex Yuan Bow-Yaw Wang 51 3 0 24 Aug 2024
Fairness-Aware Streaming Feature Selection with Causal Graphs Leizhen Zhang Lusi Li Di Wu Sheng Chen Yi He 126 4 0 17 Aug 2024
FairAIED: Navigating Fairness, Bias, and Ethics in Educational AI Applications Sribala Vidyadhari Chinta Zichong Wang Zhipeng Yin Nhat Hoang Matthew Gonzalez Tai Le Quy Wenbin Zhang 79 26 0 26 Jul 2024
To which reference class do you belong? Measuring racial fairness of reference classes with normative modeling S. Rutherford T. Wolfers Charlotte J. Fraza Nathaniel G. Harrnet Christian F. Beckmann H. Ruhé A. Marquand CML 134 4 0 26 Jul 2024
The Group Robustness is in the Details: Revisiting Finetuning under Spurious Correlations Tyler LaBonte John C. Hill Xinchen Zhang Vidya Muthukumar Abhishek Kumar AAML 72 2 0 19 Jul 2024
Building an Ethical and Trustworthy Biomedical AI Ecosystem for the Translational and Clinical Integration of Foundational Models Simha Sankar Baradwaj Destiny Gilliland Jack Rincon Henning Hermjakob Yu Yan ... Dean Wang Karol Watson Alex Bui Wei Wang Peipei Ping 91 6 0 18 Jul 2024
Fair Submodular Cover Wenjing Chen Shuo Xing Samson Zhou Victoria G. Crawford 54 3 0 05 Jul 2024
OxonFair: A Flexible Toolkit for Algorithmic Fairness Eoin Delaney Zihao Fu Sandra Wachter Brent Mittelstadt Chris Russell FaML 122 3 0 30 Jun 2024
Formalising Anti-Discrimination Law in Automated Decision Systems Holli Sargeant Måns Magnusson FaML 106 0 0 29 Jun 2024
Achieving Fairness Across Local and Global Models in Federated Learning Disha Makhija Xing Han Joydeep Ghosh Yejin Kim FedML 73 8 0 24 Jun 2024
Learning Interpretable Fair Representations Tianhao Wang Zana Buçinca Zilin Ma FaML 59 1 0 24 Jun 2024
Cherry on the Cake: Fairness is NOT an Optimization Problem Marco Favier T. Calders 51 1 0 24 Jun 2024
AIM: Attributing, Interpreting, Mitigating Data Unfairness Zhining Liu Ruizhong Qiu Zhichen Zeng Yada Zhu Hendrik Hamann Hanghang Tong FaML 94 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
Deconstructing The Ethics of Large Language Models from Long-standing Issues to New-emerging Dilemmas Chengyuan Deng Yiqun Duan Xin Jin Heng Chang Yijun Tian ... Kuofeng Gao Sihong He Jun Zhuang Lu Cheng Haohan Wang AILaw 90 24 0 08 Jun 2024
A Unified View of Group Fairness Tradeoffs Using Partial Information Decomposition Faisal Hamman Sanghamitra Dutta 91 3 0 07 Jun 2024
Algorithmic Fairness in Performative Policy Learning: Escaping the Impossibility of Group Fairness Seamus Somerstep Yaácov Ritov Yuekai Sun FaML 86 5 0 30 May 2024
FAIntbench: A Holistic and Precise Benchmark for Bias Evaluation in Text-to-Image Models Hanjun Luo Ziye Deng Ruizhe Chen Zuo-Qiang Liu EGVM 154 9 0 28 May 2024
The Impossibility of Fair LLMs Jacy Reese Anthis Kristian Lum Michael Ekstrand Avi Feller Alexander D’Amour FaML 125 14 0 28 May 2024
Fairness-Accuracy Trade-Offs: A Causal Perspective Drago Plečko Elias Bareinboim 72 3 0 24 May 2024
Assessing Group Fairness with Social Welfare Optimization V. Chen J. N. Hooker Derek Leben 55 0 0 19 May 2024
Challenging the Human-in-the-loop in Algorithmic Decision-making Sebastian Tschiatschek Eugenia Stamboliev Timothée Schmude Mark Coeckelbergh Laura M. Koesten 87 1 0 17 May 2024
Trustworthy AI in practice: an analysis of practitioners' needs and challenges M. T. Baldassarre Domenico Gigante Marcos Kalinowski Azzurra Ragone Sara Tibidò 32 4 0 15 May 2024
Does Machine Bring in Extra Bias in Learning? Approximating Fairness in Models Promptly Yijun Bian Yujie Luo FaML 59 2 0 15 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