v1v2 (latest)

On the Long-term Impact of Algorithmic Decision Policies: Effort Unfairness and Feature Segregation through Social Learning

4 March 2019

Hoda Heidari

Vedant Nanda

Krishna P. Gummadi

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Papers citing "On the Long-term Impact of Algorithmic Decision Policies: Effort Unfairness and Feature Segregation through Social Learning"

47 / 47 papers shown

Title
Effort-aware Fairness: Incorporating a Philosophy-informed, Human-centered Notion of Effort into Algorithmic Fairness Metrics Tin Trung Nguyen Jiannan Xu Zora Che Phuong-Anh Nguyen-Le Rushil Dandamudi Donald Braman Furong Huang Hal Daumé III Zubin Jelveh 74 0 0 25 May 2025
MAFE: Multi-Agent Fair Environments for Decision-Making Systems Zachary McBride Lazri Anirudh Nakra Ivan Brugere Danial Dervovic Antigoni Polychroniadou Furong Huang Dana Dachman-Soled Min Wu 119 0 0 25 Feb 2025
Understanding Decision Subjects' Engagement with and Perceived Fairness of AI Models When Opportunities of Qualification Improvement Exist Meric Altug Gemalmaz Ming Yin 133 0 0 04 Oct 2024
Learning-Augmented Robust Algorithmic Recourse Kshitij Kayastha Vasilis Gkatzelis Shahin Jabbari 84 0 0 02 Oct 2024
Long-Term Fairness in Sequential Multi-Agent Selection with Positive Reinforcement Bhagyashree Puranik Ozgur Guldogan Upamanyu Madhow Ramtin Pedarsani 67 0 0 10 Jul 2024
Fair Clustering: Critique, Caveats, and Future Directions John Dickerson Seyed-Alireza Esmaeili Jamie Morgenstern Claire Jie Zhang FaML 74 1 0 22 Jun 2024
Long-Term Fairness Inquiries and Pursuits in Machine Learning: A Survey of Notions, Methods, and Challenges Usman Gohar Zeyu Tang Jialu Wang Kun Zhang Peter Spirtes Yang Liu Lu Cheng FaML 124 4 0 10 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
Non-linear Welfare-Aware Strategic Learning Tian Xie Xueru Zhang 76 7 0 03 May 2024
Learning under Imitative Strategic Behavior with Unforeseeable Outcomes Tian Xie Zhiqun Zuo Mohammad Mahdi Khalili Xueru Zhang OffRL 83 3 0 03 May 2024
Designing Long-term Group Fair Policies in Dynamical Systems Miriam Rateike Isabel Valera Patrick Forré 93 4 0 21 Nov 2023
Procedural Fairness Through Decoupling Objectionable Data Generating Components Zeyu Tang Jialu Wang Yang Liu Peter Spirtes Kun Zhang 48 2 0 05 Nov 2023
Adapting Static Fairness to Sequential Decision-Making: Bias Mitigation Strategies towards Equal Long-term Benefit Rate Yuancheng Xu Chenghao Deng Yanchao Sun Ruijie Zheng Xiyao Wang Jieyu Zhao Furong Huang 73 4 0 07 Sep 2023
Prediction without Preclusion: Recourse Verification with Reachable Sets Avni Kothari B. Kulynych Tsui-Wei Weng Berk Ustun FaML 82 6 0 24 Aug 2023
A Classification of Feedback Loops and Their Relation to Biases in Automated Decision-Making Systems Nicolò Pagan Joachim Baumann Ezzat Elokda Giulia De Pasquale S. Bolognani Anikó Hannák 90 23 0 10 May 2023
Runtime Monitoring of Dynamic Fairness Properties T. Henzinger Mahyar Karimi Konstantin Kueffner Kaushik Mallik 66 17 0 08 May 2023
Long-Term Fairness with Unknown Dynamics Tongxin Yin Reilly P. Raab M. Liu Yang Liu FaML 94 28 0 19 Apr 2023
Systemic Fairness Arindam Ray B. Padmanabhan Lina Bouayad FaML 61 0 0 14 Apr 2023
Mitigating Source Bias for Fairer Weak Supervision Changho Shin Sonia Cromp Dyah Adila Frederic Sala 71 2 0 30 Mar 2023
Tier Balancing: Towards Dynamic Fairness over Underlying Causal Factors Zeyu Tang Yatong Chen Yang Liu Kun Zhang 53 8 0 21 Jan 2023
Equality of Effort via Algorithmic Recourse Francesca Raimondi A. Lawrence Hana Chockler 51 1 0 21 Nov 2022
Equal Improvability: A New Fairness Notion Considering the Long-term Impact Ozgur Guldogan Yuchen Zeng Jy-yong Sohn Ramtin Pedarsani Kangwook Lee FaML 83 14 0 13 Oct 2022
Enforcing Delayed-Impact Fairness Guarantees Aline Weber Blossom Metevier Yuriy Brun Philip S. Thomas Bruno Castro da Silva FaML 187 10 0 24 Aug 2022
Mitigating Disparity while Maximizing Reward: Tight Anytime Guarantee for Improving Bandits Vishakha Patil V. Nair Ganesh Ghalme Arindam Khan 73 4 0 19 Aug 2022
Fair Machine Learning in Healthcare: A Review Qizhang Feng Mengnan Du Na Zou Helen Zhou FaML 72 0 0 29 Jun 2022
Achievement and Fragility of Long-term Equitability Andrea Simonetto Ivano Notarnicola 48 1 0 24 Jun 2022
What-is and How-to for Fairness in Machine Learning: A Survey, Reflection, and Perspective Zeyu Tang Jiji Zhang Kun Zhang FaML 94 29 0 08 Jun 2022
Modeling Human Behavior Part II -- Cognitive approaches and Uncertainty Andrew Fuchs A. Passarella M. Conti 73 4 0 13 May 2022
Towards Return Parity in Markov Decision Processes Jianfeng Chi Jian Shen Xinyi Dai Weinan Zhang Yuan Tian Han Zhao 64 14 0 19 Nov 2021
Unintended Selection: Persistent Qualification Rate Disparities and Interventions Reilly P. Raab Yang Liu 109 25 0 01 Nov 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 150 47 0 01 Oct 2021
A Sociotechnical View of Algorithmic Fairness Mateusz Dolata Stefan Feuerriegel Gerhard Schwabe FaML 76 101 0 27 Sep 2021
Strategic Instrumental Variable Regression: Recovering Causal Relationships From Strategic Responses Keegan Harris Daniel Ngo Logan Stapleton Hoda Heidari Zhiwei Steven Wu 62 36 0 12 Jul 2021
Stateful Strategic Regression Keegan Harris Hoda Heidari Zhiwei Steven Wu 64 31 0 07 Jun 2021
Addressing the Long-term Impact of ML Decisions via Policy Regret David Lindner Hoda Heidari Andreas Krause OffRL 56 6 0 02 Jun 2021
Precarity: Modeling the Long Term Effects of Compounded Decisions on Individual Instability Pegah Nokhiz Aravinda Kanchana Ruwanpathirana Neal Patwari Suresh Venkatasubramanian 123 8 0 24 Apr 2021
Strategic Classification Made Practical Sagi Levanon Nir Rosenfeld 85 60 0 02 Mar 2021
Information Discrepancy in Strategic Learning Yahav Bechavod Chara Podimata Zhiwei Steven Wu Juba Ziani 142 50 0 01 Mar 2021
Technical Challenges for Training Fair Neural Networks Valeriia Cherepanova V. Nanda Micah Goldblum John P. Dickerson Tom Goldstein FaML 71 22 0 12 Feb 2021
Fair Machine Learning Under Partial Compliance Jessica Dai S. Fazelpour Zachary Chase Lipton 67 11 0 07 Nov 2020
How Do Fair Decisions Fare in Long-term Qualification? Xueru Zhang Ruibo Tu Yang Liu M. Liu Hedvig Kjellström Kun Zhang Cheng Zhang 93 75 0 21 Oct 2020
Bridging Machine Learning and Mechanism Design towards Algorithmic Fairness Jessie Finocchiaro R. Maio F. Monachou Gourab K. Patro Manish Raghavan Ana-Andreea Stoica Stratis Tsirtsis FaML 158 60 0 12 Oct 2020
Bandit Learning with Delayed Impact of Actions Wei Tang Chien-Ju Ho Yang Liu 112 12 0 24 Feb 2020
Fairness in Learning-Based Sequential Decision Algorithms: A Survey Xueru Zhang M. Liu FaML 154 51 0 14 Jan 2020
Fairness through Equality of Effort Wen Huang Yongkai Wu Lu Zhang Xintao Wu FaML 57 33 0 11 Nov 2019
Extracting Incentives from Black-Box Decisions Yonadav Shavit William S. Moses 41 9 0 13 Oct 2019
Group Retention when Using Machine Learning in Sequential Decision Making: the Interplay between User Dynamics and Fairness Xueru Zhang Mohammadmahdi Khaliligarekani Cem Tekin M. Liu FaML 89 60 0 02 May 2019