50 Years of Test (Un)fairness: Lessons for Machine Learning

25 November 2018

Papers citing "50 Years of Test (Un)fairness: Lessons for Machine Learning"

45 / 45 papers shown

Title
Addressing Bias in Generative AI: Challenges and Research Opportunities in Information Management Xiahua Wei Naveen Kumar Han Zhang 68 5 0 22 Jan 2025
Social Choice for Heterogeneous Fairness in Recommendation Amanda A. Aird Elena Stefancova Cassidy All A. Voida Martin Homola Nicholas Mattei Robin Burke FaML 58 0 0 06 Oct 2024
Trustworthy Distributed AI Systems: Robustness, Privacy, and Governance Wenqi Wei Ling Liu 31 16 0 02 Feb 2024
Multilingual Text-to-Image Generation Magnifies Gender Stereotypes and Prompt Engineering May Not Help You Felix Friedrich Katharina Hämmerl P. Schramowski Manuel Brack Jindrich Libovický Kristian Kersting Alexander Fraser EGVM 32 10 0 29 Jan 2024
Fair Enough? A map of the current limitations of the requirements to have "fair" algorithms Alessandro Castelnovo Nicole Inverardi Gabriele Nanino Ilaria Giuseppina Penco D. Regoli FaML 21 1 0 21 Nov 2023
On Prediction-Modelers and Decision-Makers: Why Fairness Requires More Than a Fair Prediction Model Teresa Scantamburlo Joachim Baumann Christoph Heitz FaML 33 5 0 09 Oct 2023
Unprocessing Seven Years of Algorithmic Fairness André F. Cruz Moritz Hardt 31 10 0 12 Jun 2023
On the Origins of Bias in NLP through the Lens of the Jim Code Fatma Elsafoury Gavin Abercrombie 47 4 0 16 May 2023
Globalizing Fairness Attributes in Machine Learning: A Case Study on Health in Africa M. Asiedu Awa Dieng Abigail Oppong Margaret Nagawa Sanmi Koyejo Katherine A. Heller 54 7 0 05 Apr 2023
Towards Fair Patient-Trial Matching via Patient-Criterion Level Fairness Constraint Chia-Yuan Chang Jiayi Yuan Sirui Ding Qiaoyu Tan Kai Zhang Xiaoqian Jiang Xia Hu Na Zou FaML 34 9 0 24 Mar 2023
A multidomain relational framework to guide institutional AI research and adoption Vince J. Straub Deborah Morgan Youmna Hashem John Francis Saba Esnaashari Jonathan Bright 47 8 0 17 Mar 2023
Fair Diffusion: Instructing Text-to-Image Generation Models on Fairness Felix Friedrich Manuel Brack Lukas Struppek Dominik Hintersdorf P. Schramowski Sasha Luccioni Kristian Kersting 38 120 0 07 Feb 2023
Fair Generative Models via Transfer Learning Christopher T. H. Teo Milad Abdollahzadeh Ngai-man Cheung 21 24 0 02 Dec 2022
A Survey on Preserving Fairness Guarantees in Changing Environments Ainhize Barrainkua Paula Gordaliza Jose A. Lozano Novi Quadrianto FaML 29 3 0 14 Nov 2022
Mitigating Unfairness via Evolutionary Multi-objective Ensemble Learning Qingquan Zhang Jialin Liu Zeqi Zhang J. Wen Bifei Mao Xin Yao FaML 48 17 0 30 Oct 2022
Equalizing Credit Opportunity in Algorithms: Aligning Algorithmic Fairness Research with U.S. Fair Lending Regulation Indra Elizabeth Kumar Keegan E. Hines John P. Dickerson FaML 46 21 0 05 Oct 2022
Deep Fair Clustering via Maximizing and Minimizing Mutual Information: Theory, Algorithm and Metric Pengxin Zeng Yunfan Li Peng Hu Dezhong Peng Jiancheng Lv Xiaocui Peng 23 12 0 26 Sep 2022
Fairness and robustness in anti-causal prediction Maggie Makar Alexander DÁmour OOD 36 10 0 20 Sep 2022
Evaluation of group fairness measures in student performance prediction problems Tai Le Quy Thi-Huyen Nguyen Gunnar Friege Eirini Ntoutsi 41 7 0 22 Aug 2022
Should Bank Stress Tests Be Fair? P. Glasserman M. Li 8 1 0 27 Jul 2022
Constant-Factor Approximation Algorithms for Socially Fair $k$ -Clustering Mehrdad Ghadiri Mohit Singh Santosh Vempala 21 10 0 22 Jun 2022
ABCinML: Anticipatory Bias Correction in Machine Learning Applications Abdulaziz A. Almuzaini C. Bhatt David M. Pennock V. Singh FaML 30 10 0 14 Jun 2022
(Im)possibility of Collective Intelligence Krikamol Muandet 35 6 0 05 Jun 2022
Towards Intersectionality in Machine Learning: Including More Identities, Handling Underrepresentation, and Performing Evaluation Angelina Wang V. V. Ramaswamy Olga Russakovsky FaML 29 92 0 10 May 2022
Rethinking Fairness: An Interdisciplinary Survey of Critiques of Hegemonic ML Fairness Approaches Lindsay Weinberg FaML SyDa 32 58 0 06 May 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
There is an elephant in the room: Towards a critique on the use of fairness in biometrics Ana Valdivia Júlia Corbera Serrajòrdia Aneta Swianiewicz 21 14 0 16 Dec 2021
Understanding and Mitigating Annotation Bias in Facial Expression Recognition Yunliang Chen Jungseock Joo CVBM 32 80 0 19 Aug 2021
Trustworthy AI: A Computational Perspective Haochen Liu Yiqi Wang Wenqi Fan Xiaorui Liu Yaxin Li Shaili Jain Yunhao Liu Anil K. Jain Jiliang Tang FaML 104 196 0 12 Jul 2021
Quantifying Social Biases in NLP: A Generalization and Empirical Comparison of Extrinsic Fairness Metrics Paula Czarnowska Yogarshi Vyas Kashif Shah 21 104 0 28 Jun 2021
Understanding and Evaluating Racial Biases in Image Captioning Dora Zhao Angelina Wang Olga Russakovsky 30 134 0 16 Jun 2021
FairCanary: Rapid Continuous Explainable Fairness Avijit Ghosh Aalok Shanbhag Christo Wilson 11 20 0 13 Jun 2021
What is fair? Exploring the artists' perspective on the fairness of music streaming platforms Andrés Ferraro Xavier Serra Christine Bauer 19 35 0 04 Jun 2021
Demographic Fairness in Biometric Systems: What do the Experts say? Christian Rathgeb P. Drozdowski Naser Damer Dinusha Frings Christoph Busch FaML 26 23 0 31 May 2021
Bias, Fairness, and Accountability with AI and ML Algorithms Neng-Zhi Zhou Zach Zhang V. Nair Harsh Singhal Jie Chen Agus Sudjianto FaML 21 9 0 13 May 2021
Label-Imbalanced and Group-Sensitive Classification under Overparameterization Ganesh Ramachandra Kini Orestis Paraskevas Samet Oymak Christos Thrampoulidis 29 93 0 02 Mar 2021
Re-imagining Algorithmic Fairness in India and Beyond Nithya Sambasivan Erin Arnesen Ben Hutchinson Tulsee Doshi Vinodkumar Prabhakaran FaML 17 174 0 25 Jan 2021
Fairness in Machine Learning L. Oneto Silvia Chiappa FaML 256 491 0 31 Dec 2020
An Empirical Characterization of Fair Machine Learning For Clinical Risk Prediction Stephen R. Pfohl Agata Foryciarz N. Shah FaML 33 108 0 20 Jul 2020
Algorithmic Fairness in Education René F. Kizilcec Hansol Lee FaML 38 120 0 10 Jul 2020
Robust Optimization for Fairness with Noisy Protected Groups S. Wang Wenshuo Guo Harikrishna Narasimhan Andrew Cotter Maya R. Gupta Michael I. Jordan NoLa 27 118 0 21 Feb 2020
Towards Fairer Datasets: Filtering and Balancing the Distribution of the People Subtree in the ImageNet Hierarchy Kaiyu Yang Klint Qinami Li Fei-Fei Jia Deng Olga Russakovsky 21 316 0 16 Dec 2019
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 338 4,230 0 23 Aug 2019
Mitigating Bias in Algorithmic Hiring: Evaluating Claims and Practices Manish Raghavan Solon Barocas Jon M. Kleinberg K. Levy MLAU FaML 10 504 0 21 Jun 2019
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 207 2,091 0 24 Oct 2016