mlsanityData to 7 Oct 2026

Roles for Computing in Social Change

arXiv 1912.04883 ↗First posted 10 Dec 2019cs.CYcited by 49

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Abstract (arXiv)

A recent normative turn in computer science has brought concerns about fairness, bias, and accountability to the core of the field. Yet recent scholarship has warned that much of this technical work treats problematic features of the status quo as fixed, and fails to address deeper patterns of injustice and inequality. While acknowledging these critiques, we posit that computational research has valuable roles to play in addressing social problems -- roles whose value can be recognized even from a perspective that aspires toward fundamental social change. In this paper, we articulate four such roles, through an analysis that considers the opportunities as well as the significant risks inherent in such work. Computing research can serve as a diagnostic, helping us to understand and measure social problems with precision and clarity. As a formalizer, computing shapes how social problems are explicitly defined --- changing how those problems, and possible responses to them, are understood. Computing serves as rebuttal when it illuminates the boundaries of what is possible through technical means. And computing acts as synecdoche when it makes long-standing social problems newly salient in the public eye. We offer these paths forward as modalities that leverage the particular strengths of computational work in the service of social change, without overclaiming computing's capacity to solve social problems on its own.

Key facts. Cited by 49 papers in the map (data through 7 Oct 2026). First posted on arXiv 10 Dec 2019.

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Citing papers per year: 2021: 10; 2022: 17; 2023: 11; 2024: 5; 2025: 5; 2026: 1.

49 papers.

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  1. 2023Harms from Increasingly Agentic Algorithmic Systemscited by 134
  2. 2022Jury Learning: Integrating Dissenting Voices into Machine Learning Modelscited by 115
  3. 2021Do Datasets Have Politics? Disciplinary Values in Computer Vision Dataset Developmentcited by 85
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  5. 2022POTATO: The Portable Text Annotation Toolcited by 64
  6. 2022Accountability in an Algorithmic Society: Relationality, Responsibility, and Robustness in Machine Learningcited by 47
  7. 2022Towards Transparency in Dermatology Image Datasets with Skin Tone Annotations by Experts, Crowds, and an Algorithmcited by 35
  8. 2021Emergent Unfairness in Algorithmic Fairness-Accuracy Trade-Off Researchcited by 34
  9. 2022A Validity Perspective on Evaluating the Justified Use of Data-driven Decision-making Algorithmscited by 30
  10. 2022Understanding Practices, Challenges, and Opportunities for User-Engaged Algorithm Auditing in Industry Practicecited by 30
  11. 2021Envisioning Communities: A Participatory Approach Towards AI for Social Goodcited by 29
  12. 2022Rethinking Fairness: An Interdisciplinary Survey of Critiques of Hegemonic ML Fairness Approachescited by 23
37 more
  1. 2021Problematic Machine Behavior: A Systematic Literature Review of Algorithm Auditscited by 20
  2. 2022What-is and How-to for Fairness in Machine Learning: A Survey, Reflection, and Perspectivecited by 18
  3. 2023Fine-Tuning Games: Bargaining and Adaptation for General-Purpose Modelscited by 17
  4. 2022Gathering Strength, Gathering Storms: The One Hundred Year Study on Artificial Intelligence (AI100) 2021 Study Panel Reportcited by 14
  5. 2022Towards a multi-stakeholder value-based assessment framework for algorithmic systemscited by 12
  6. 2023Towards the Scalable Evaluation of Cooperativeness in Language Modelscited by 12
  7. 2025A Large Scale Analysis of Gender Biases in Text-to-Image Generative Modelscited by 12
  8. 2021Black Feminist Musings on Algorithmic Oppressioncited by 11
  9. 2024Accounting for AI and Users Shaping One Another: The Role of Mathematical Modelscited by 11
  10. 2022The Algorithmic Imprintcited by 10
  11. 2023Designing Fiduciary Artificial Intelligencecited by 8
  12. 2021Model Selection's Disparate Impact in Real-World Deep Learning Applicationscited by 7
  13. 2023Responsible AI Research Needs Impact Statements Toocited by 7
  14. 2023Can Workers Meaningfully Consent to Workplace Wellbeing Technologies?cited by 6
  15. 2022Adversarial Scrutiny of Evidentiary Statistical Softwarecited by 5
  16. 2021Escaping the Impossibility of Fairness: From Formal to Substantive Algorithmic Fairnesscited by 4
  17. 2022Trucks Don't Mean Trump: Diagnosing Human Error in Image Analysiscited by 4
  18. 2023A Human-Centered Review of Algorithms in Decision-Making in Higher Educationcited by 4
  19. 2023FATE in AI: Towards Algorithmic Inclusivity and Accessibilitycited by 3
  20. 2023Interpolating Item and User Fairness in Multi-Sided Recommendationscited by 3
  21. 2023Riveter: Measuring Power and Social Dynamics Between Entitiescited by 2
  22. 2024Articulation Work and Tinkering for Fairness in Machine Learningcited by 2
  23. 2021Building Bridges: Generative Artworks to Explore AI Ethicscited by 1
  24. 2021Local Justice and the Algorithmic Allocation of Societal Resourcescited by 1
  25. 2022Lost in Translation: Reimagining the Machine Learning Life Cycle in Educationcited by 1
  26. 2024Intuitions of Compromise: Utilitarianism vs. Contractualismcited by 1
  27. 2025VORTEX: Aligning Task Utility and Human Preferences through LLM-Guided Reward Shapingcited by 1
  28. 2021Diagnosing Data from ICTs to Provide Focused Assistance in Agricultural Adoptionscited by 0
  29. 2022A Non-Expert's Introduction to Data Ethics for Mathematicianscited by 0
  30. 2022Tensions Between the Proxies of Human Values in AIcited by 0
  31. 2022Evaluation for Changecited by 0
  32. 2023Bias, Consistency, and Partisanship in U.S. Asylum Cases: A Machine Learning Analysis of Extraneous Factors in Immigration Court Decisionscited by 0
  33. 2024Beyond Predictive Algorithms in Child Welfarecited by 0
  34. 2024Gender Bias Detection in Court Decisions: A Brazilian Case Studycited by 0
  35. 2025A Data-driven Investigation of Euphemistic Language: Comparing the usage of "slave" and "servant" in 19th century US newspaperscited by 0
  36. 2025OPTIC-ER: A Reinforcement Learning Framework for Real-Time Emergency Response and Equitable Resource Allocation in Underserved African Communitiescited by 0
  37. 2026Fairness Theatre: Evaluating Post-Hoc Fairness Interventions in Vendor-Controlled Early Warning Systemscited by 0