A Sociotechnical View of Algorithmic Fairness

27 September 2021

Papers citing "A Sociotechnical View of Algorithmic Fairness"

44 / 44 papers shown

Title
When the System does not Fit: Coping Strategies of Employment Consultants Mateusz Dolata Birgit Schenk J. Fuhrer A. Marti Gerhard Schwabe 13 21 0 14 Sep 2024
KFC: A Scalable Approximation Algorithm for $k$ -center Fair Clustering Elfarouk Harb Hoi Shan Lam 34 21 0 26 Oct 2020
Learning Fair Policies in Multiobjective (Deep) Reinforcement Learning with Average and Discounted Rewards Umer Siddique Paul Weng Matthieu Zimmer FaML OffRL 26 85 0 18 Aug 2020
Fairwashing Explanations with Off-Manifold Detergent Christopher J. Anders Plamen Pasliev Ann-Kathrin Dombrowski K. Müller Pan Kessel FAtt FaML 26 96 0 20 Jul 2020
A Pairwise Fair and Community-preserving Approach to k-Center Clustering Brian Brubach D. Chakrabarti John P. Dickerson Samir Khuller A. Srinivasan Leonidas Tsepenekas FaML 10 37 0 14 Jul 2020
Decolonial AI: Decolonial Theory as Sociotechnical Foresight in Artificial Intelligence Shakir Mohamed Marie-Therese Png William S. Isaac 57 402 0 08 Jul 2020
Fair Performance Metric Elicitation Gaurush Hiranandani Harikrishna Narasimhan Oluwasanmi Koyejo 40 18 0 23 Jun 2020
Probabilistic Fair Clustering Seyed-Alireza Esmaeili Brian Brubach Leonidas Tsepenekas John P. Dickerson FaML 41 36 0 19 Jun 2020
Fair Hierarchical Clustering Sara Ahmadian Alessandro Epasto Marina Knittel Ravi Kumar Mohammad Mahdian Benjamin Moseley Philip Pham Sergei Vassilvtiskii Yuyan Wang FaML 24 46 0 18 Jun 2020
Fair Regression with Wasserstein Barycenters Evgenii Chzhen Christophe Denis Mohamed Hebiri L. Oneto Massimiliano Pontil 47 106 0 12 Jun 2020
Group-Fair Online Allocation in Continuous Time Semih Cayci Swati Gupta A. Eryilmaz FaML 41 19 0 11 Jun 2020
Learning Certified Individually Fair Representations Anian Ruoss Mislav Balunović Marc Fischer Martin Vechev FaML 27 93 0 24 Feb 2020
FR-Train: A Mutual Information-Based Approach to Fair and Robust Training Yuji Roh Kangwook Lee Steven Euijong Whang Changho Suh 44 78 0 24 Feb 2020
Designing Fair AI for Managing Employees in Organizations: A Review, Critique, and Design Agenda L. Robert Casey S. Pierce Liz Morris Sangmi Kim Rasha Alahmad 30 142 0 20 Feb 2020
Individual Fairness for $k$ -Clustering S. Mahabadi A. Vakilian FaML 35 83 0 17 Feb 2020
Algorithmic Fairness from a Non-ideal Perspective S. Fazelpour Zachary Chase Lipton FaML 16 101 0 08 Jan 2020
A Self-Adaptive Synthetic Over-Sampling Technique for Imbalanced Classification Xiaowei Gu Plamen Angelov Eduardo Soares 23 61 0 25 Nov 2019
Mitigate Bias in Face Recognition using Skewness-Aware Reinforcement Learning Mei Wang Weihong Deng CVBM 44 230 0 25 Nov 2019
Learning Fairness in Multi-Agent Systems Jiechuan Jiang Zongqing Lu 20 70 0 31 Oct 2019
Fair Generative Modeling via Weak Supervision Kristy Choi Aditya Grover Trisha Singh Rui Shu Stefano Ermon 53 134 0 26 Oct 2019
This Thing Called Fairness: Disciplinary Confusion Realizing a Value in Technology D. Mulligan Joshua A. Kroll Nitin Kohli Richmond Y. Wong 68 73 0 26 Sep 2019
Fairness Warnings and Fair-MAML: Learning Fairly with Minimal Data Dylan Slack Sorelle A. Friedler Emile Givental FaML 90 54 0 24 Aug 2019
Operationalizing Individual Fairness with Pairwise Fair Representations Preethi Lahoti Krishna P. Gummadi Gerhard Weikum FaML 60 101 0 02 Jul 2019
Coresets for Clustering with Fairness Constraints Lingxiao Huang S. Jiang Nisheeth K. Vishnoi 50 101 0 20 Jun 2019
Leveraging Labeled and Unlabeled Data for Consistent Fair Binary Classification Evgenii Chzhen Christophe Denis Mohamed Hebiri L. Oneto Massimiliano Pontil FaML 107 85 0 12 Jun 2019
Fair Classification and Social Welfare Lily Hu Yiling Chen FaML 39 89 0 01 May 2019
Fairness-Aware Ranking in Search & Recommendation Systems with Application to LinkedIn Talent Search S. Geyik Stuart Ambler K. Kenthapadi 62 380 0 30 Apr 2019
On the Long-term Impact of Algorithmic Decision Policies: Effort Unfairness and Feature Segregation through Social Learning Hoda Heidari Vedant Nanda Krishna P. Gummadi 26 66 0 04 Mar 2019
The Ethics of AI Ethics -- An Evaluation of Guidelines Thilo Hagendorff AI4TS 49 1,174 0 28 Feb 2019
The Fairness of Risk Scores Beyond Classification: Bipartite Ranking and the xAUC Metric Nathan Kallus Angela Zhou 67 74 0 15 Feb 2019
Fairwashing: the risk of rationalization Ulrich Aïvodji Hiromi Arai O. Fortineau Sébastien Gambs Satoshi Hara Alain Tapp FaML 28 146 0 28 Jan 2019
Fair Algorithms for Clustering Suman Kalyan Bera Deeparnab Chakrabarty Nicolas J. Flores Maryam Negahbani FaML FedML 57 233 0 08 Jan 2019
Racial categories in machine learning Sebastian Benthall Bruce D. Haynes FaML 54 122 0 28 Nov 2018
The Frontiers of Fairness in Machine Learning Alexandra Chouldechova Aaron Roth FaML 112 413 0 20 Oct 2018
Fair Algorithms for Learning in Allocation Problems Hadi Elzayn S. Jabbari Christopher Jung Michael Kearns Seth Neel Aaron Roth Zachary Schutzman FaML 21 96 0 30 Aug 2018
A Unified Approach to Quantifying Algorithmic Unfairness: Measuring Individual & Group Unfairness via Inequality Indices Till Speicher Hoda Heidari Nina Grgic-Hlaca Krishna P. Gummadi Adish Singla Adrian Weller Muhammad Bilal Zafar FaML 37 261 0 02 Jul 2018
Enhancing the Accuracy and Fairness of Human Decision Making Isabel Valera Adish Singla Manuel Gomez Rodriguez 77 35 0 25 May 2018
A Reductions Approach to Fair Classification Alekh Agarwal A. Beygelzimer Miroslav Dudík John Langford Hanna M. Wallach FaML 106 1,094 0 06 Mar 2018
Empirical Risk Minimization under Fairness Constraints Michele Donini L. Oneto Shai Ben-David John Shawe-Taylor Massimiliano Pontil FaML 71 443 0 23 Feb 2018
Learning Adversarially Fair and Transferable Representations David Madras Elliot Creager T. Pitassi R. Zemel FaML 306 678 0 17 Feb 2018
Fair Clustering Through Fairlets Flavio Chierichetti Ravi Kumar Silvio Lattanzi Sergei Vassilvitskii FaML 37 430 0 15 Feb 2018
A comparative study of fairness-enhancing interventions in machine learning Sorelle A. Friedler C. Scheidegger Suresh Venkatasubramanian Sonam Choudhary Evan P. Hamilton Derek Roth FaML 85 639 0 13 Feb 2018
Beyond Parity: Fairness Objectives for Collaborative Filtering Sirui Yao Bert Huang FaML 28 365 0 24 May 2017
Inherent Trade-Offs in the Fair Determination of Risk Scores Jon M. Kleinberg S. Mullainathan Manish Raghavan FaML 79 1,762 0 19 Sep 2016