Data Science as Political Action: Grounding Data Science in a Politics of Justice

6 November 2018

Papers citing "Data Science as Political Action: Grounding Data Science in a Politics of Justice"

11 / 11 papers shown

Title
From Model Performance to Claim: How a Change of Focus in Machine Learning Replicability Can Help Bridge the Responsibility Gap Tianqi Kou 44 0 0 19 Apr 2024
Tensions Between the Proxies of Human Values in AI Teresa Datta D. Nissani Max Cembalest Akash Khanna Haley Massa John P. Dickerson 34 2 0 14 Dec 2022
Five Ps: Leverage Zones Towards Responsible AI E. Nabavi Chris Browne 14 3 0 20 Apr 2022
Annotators with Attitudes: How Annotator Beliefs And Identities Bias Toxic Language Detection Maarten Sap Swabha Swayamdipta Laura Vianna Xuhui Zhou Yejin Choi Noah A. Smith 46 267 0 15 Nov 2021
Studying Up Machine Learning Data: Why Talk About Bias When We Mean Power? Milagros Miceli Julian Posada Tianling Yang 22 60 0 16 Sep 2021
Escaping the Impossibility of Fairness: From Formal to Substantive Algorithmic Fairness Ben Green FaML 25 38 0 09 Jul 2021
Envisioning Communities: A Participatory Approach Towards AI for Social Good Elizabeth Bondi-Kelly Lily Xu Diana Acosta-Navas J. Killian 24 81 0 04 May 2021
Conservative AI and social inequality: Conceptualizing alternatives to bias through social theory Mike Zajko 16 37 0 16 Jul 2020
Surveillance, Stigma & Sociotechnical Design for HIV Calvin A. Liang Jevan Hutson O. Keyes 18 9 0 08 Jun 2020
Data Vision: Learning to See Through Algorithmic Abstraction Samir Passi S. Jackson 137 111 0 09 Feb 2020
Fair and Unbiased Algorithmic Decision Making: Current State and Future Challenges Songül Tolan FaML 24 31 0 15 Jan 2019