Roles for Computing in Social Change
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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.
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- 2021Do Datasets Have Politics? Disciplinary Values in Computer Vision Dataset Developmentcited by 85
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- 2021Emergent Unfairness in Algorithmic Fairness-Accuracy Trade-Off Researchcited by 34
- 2022A Validity Perspective on Evaluating the Justified Use of Data-driven Decision-making Algorithmscited by 30
- 2022Understanding Practices, Challenges, and Opportunities for User-Engaged Algorithm Auditing in Industry Practicecited by 30
- 2021Envisioning Communities: A Participatory Approach Towards AI for Social Goodcited by 29
- 2022Rethinking Fairness: An Interdisciplinary Survey of Critiques of Hegemonic ML Fairness Approachescited by 23
37 more
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- 2022Gathering Strength, Gathering Storms: The One Hundred Year Study on Artificial Intelligence (AI100) 2021 Study Panel Reportcited by 14
- 2022Towards a multi-stakeholder value-based assessment framework for algorithmic systemscited by 12
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- 2025A Large Scale Analysis of Gender Biases in Text-to-Image Generative Modelscited by 12
- 2021Black Feminist Musings on Algorithmic Oppressioncited by 11
- 2024Accounting for AI and Users Shaping One Another: The Role of Mathematical Modelscited by 11
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- 2021Model Selection's Disparate Impact in Real-World Deep Learning Applicationscited by 7
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- 2022Adversarial Scrutiny of Evidentiary Statistical Softwarecited by 5
- 2021Escaping the Impossibility of Fairness: From Formal to Substantive Algorithmic Fairnesscited by 4
- 2022Trucks Don't Mean Trump: Diagnosing Human Error in Image Analysiscited by 4
- 2023A Human-Centered Review of Algorithms in Decision-Making in Higher Educationcited by 4
- 2023FATE in AI: Towards Algorithmic Inclusivity and Accessibilitycited by 3
- 2023Interpolating Item and User Fairness in Multi-Sided Recommendationscited by 3
- 2023Riveter: Measuring Power and Social Dynamics Between Entitiescited by 2
- 2024Articulation Work and Tinkering for Fairness in Machine Learningcited by 2
- 2021Building Bridges: Generative Artworks to Explore AI Ethicscited by 1
- 2021Local Justice and the Algorithmic Allocation of Societal Resourcescited by 1
- 2022Lost in Translation: Reimagining the Machine Learning Life Cycle in Educationcited by 1
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- 2025VORTEX: Aligning Task Utility and Human Preferences through LLM-Guided Reward Shapingcited by 1
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- 2022Tensions Between the Proxies of Human Values in AIcited by 0
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- 2024Beyond Predictive Algorithms in Child Welfarecited by 0
- 2024Gender Bias Detection in Court Decisions: A Brazilian Case Studycited by 0
- 2025A Data-driven Investigation of Euphemistic Language: Comparing the usage of "slave" and "servant" in 19th century US newspaperscited by 0
- 2025OPTIC-ER: A Reinforcement Learning Framework for Real-Time Emergency Response and Equitable Resource Allocation in Underserved African Communitiescited by 0
- 2026Fairness Theatre: Evaluating Post-Hoc Fairness Interventions in Vendor-Controlled Early Warning Systemscited by 0
- 2026Fairness Theatre: Evaluating Post-Hoc Fairness Interventions in Vendor-Controlled Early Warning Systems29 Sep 2026
- 2025VORTEX: Aligning Task Utility and Human Preferences through LLM-Guided Reward Shaping19 Sep 2025
- 2025OPTIC-ER: A Reinforcement Learning Framework for Real-Time Emergency Response and Equitable Resource Allocation in Underserved African Communities18 Aug 2025
- 2025Expressing stigma and inappropriate responses prevents LLMs from safely replacing mental health providers25 Apr 2025
- 2025A Large Scale Analysis of Gender Biases in Text-to-Image Generative Models30 Mar 2025
- 2025A Data-driven Investigation of Euphemistic Language: Comparing the usage of "slave" and "servant" in 19th century US newspapers19 Mar 2025
- 2024Intuitions of Compromise: Utilitarianism vs. Contractualism7 Oct 2024
- 2024Articulation Work and Tinkering for Fairness in Machine Learning23 Jul 2024
- 2024Gender Bias Detection in Court Decisions: A Brazilian Case Study1 Jun 2024
- 2024Accounting for AI and Users Shaping One Another: The Role of Mathematical Models18 Apr 2024
- 2024Beyond Predictive Algorithms in Child Welfare26 Feb 2024
- 2023Riveter: Measuring Power and Social Dynamics Between Entities15 Dec 2023
37 more
- 2023Responsible AI Research Needs Impact Statements Too20 Nov 2023
- 2023Fine-Tuning Games: Bargaining and Adaptation for General-Purpose Models8 Aug 2023
- 2023Designing Fiduciary Artificial Intelligence27 Jul 2023
- 2023Interpolating Item and User Fairness in Multi-Sided Recommendations12 Jun 2023
- 2023Bias, Consistency, and Partisanship in U.S. Asylum Cases: A Machine Learning Analysis of Extraneous Factors in Immigration Court Decisions25 May 2023
- 2023Towards the Scalable Evaluation of Cooperativeness in Language Models16 Mar 2023
- 2023Can Workers Meaningfully Consent to Workplace Wellbeing Technologies?13 Mar 2023
- 2023Harms from Increasingly Agentic Algorithmic Systems20 Feb 2023
- 2023A Human-Centered Review of Algorithms in Decision-Making in Higher Education12 Feb 2023
- 2023FATE in AI: Towards Algorithmic Inclusivity and Accessibility3 Jan 2023
- 2022Evaluation for Change20 Dec 2022
- 2022POTATO: The Portable Text Annotation Tool16 Dec 2022
- 2022Tensions Between the Proxies of Human Values in AI14 Dec 2022
- 2022Gathering Strength, Gathering Storms: The One Hundred Year Study on Artificial Intelligence (AI100) 2021 Study Panel Report27 Oct 2022
- 2022Understanding Practices, Challenges, and Opportunities for User-Engaged Algorithm Auditing in Industry Practice7 Oct 2022
- 2022Lost in Translation: Reimagining the Machine Learning Life Cycle in Education8 Sep 2022
- 2022Towards Transparency in Dermatology Image Datasets with Skin Tone Annotations by Experts, Crowds, and an Algorithm6 Jul 2022
- 2022A Validity Perspective on Evaluating the Justified Use of Data-driven Decision-making Algorithms30 Jun 2022
- 2022Adversarial Scrutiny of Evidentiary Statistical Software19 Jun 2022
- 2022What-is and How-to for Fairness in Machine Learning: A Survey, Reflection, and Perspective8 Jun 2022
- 2022The Algorithmic Imprint3 Jun 2022
- 2022Trucks Don't Mean Trump: Diagnosing Human Error in Image Analysis15 May 2022
- 2022Towards a multi-stakeholder value-based assessment framework for algorithmic systems9 May 2022
- 2022Rethinking Fairness: An Interdisciplinary Survey of Critiques of Hegemonic ML Fairness Approaches6 May 2022
- 2022Accountability in an Algorithmic Society: Relationality, Responsibility, and Robustness in Machine Learning10 Feb 2022
- 2022Jury Learning: Integrating Dissenting Voices into Machine Learning Models7 Feb 2022
- 2022A Non-Expert's Introduction to Data Ethics for Mathematicians18 Jan 2022
- 2021Local Justice and the Algorithmic Allocation of Societal Resources10 Nov 2021
- 2021Diagnosing Data from ICTs to Provide Focused Assistance in Agricultural Adoptions29 Oct 2021
- 2021Do Datasets Have Politics? Disciplinary Values in Computer Vision Dataset Development9 Aug 2021
- 2021Escaping the Impossibility of Fairness: From Formal to Substantive Algorithmic Fairness9 Jul 2021
- 2021Building Bridges: Generative Artworks to Explore AI Ethics25 Jun 2021
- 2021Envisioning Communities: A Participatory Approach Towards AI for Social Good4 May 2021
- 2021Model Selection's Disparate Impact in Real-World Deep Learning Applications1 Apr 2021
- 2021Problematic Machine Behavior: A Systematic Literature Review of Algorithm Audits3 Feb 2021
- 2021Emergent Unfairness in Algorithmic Fairness-Accuracy Trade-Off Research1 Feb 2021
- 2021Black Feminist Musings on Algorithmic Oppression25 Jan 2021
- 2023Harms from Increasingly Agentic Algorithmic Systemscited by 134
- 2023Harms from Increasingly Agentic Algorithmic Systems20 Feb 2023
- 2022Jury Learning: Integrating Dissenting Voices into Machine Learning Modelscited by 115
- 2021Do Datasets Have Politics? Disciplinary Values in Computer Vision Dataset Developmentcited by 85
- 2025Expressing stigma and inappropriate responses prevents LLMs from safely replacing mental health providerscited by 67
- 2022POTATO: The Portable Text Annotation Toolcited by 64
- 2022Accountability in an Algorithmic Society: Relationality, Responsibility, and Robustness in Machine Learningcited by 47
- 2022Towards Transparency in Dermatology Image Datasets with Skin Tone Annotations by Experts, Crowds, and an Algorithmcited by 35
- 2021Emergent Unfairness in Algorithmic Fairness-Accuracy Trade-Off Researchcited by 34
- 2022A Validity Perspective on Evaluating the Justified Use of Data-driven Decision-making Algorithmscited by 30
- 2022Understanding Practices, Challenges, and Opportunities for User-Engaged Algorithm Auditing in Industry Practicecited by 30
- 2021Envisioning Communities: A Participatory Approach Towards AI for Social Goodcited by 29
- 2022Rethinking Fairness: An Interdisciplinary Survey of Critiques of Hegemonic ML Fairness Approachescited by 23
- 2021Problematic Machine Behavior: A Systematic Literature Review of Algorithm Auditscited by 20
12 most cited of 47 All 47 (JSON)
- 2026Fairness Theatre: Evaluating Post-Hoc Fairness Interventions in Vendor-Controlled Early Warning Systems29 Sep 2026
- 2025OPTIC-ER: A Reinforcement Learning Framework for Real-Time Emergency Response and Equitable Resource Allocation in Underserved African Communities18 Aug 2025
- 2025Expressing stigma and inappropriate responses prevents LLMs from safely replacing mental health providers25 Apr 2025
- 2025A Large Scale Analysis of Gender Biases in Text-to-Image Generative Models30 Mar 2025
- 2025A Data-driven Investigation of Euphemistic Language: Comparing the usage of "slave" and "servant" in 19th century US newspapers19 Mar 2025
- 2024Intuitions of Compromise: Utilitarianism vs. Contractualism7 Oct 2024
- 2024Articulation Work and Tinkering for Fairness in Machine Learning23 Jul 2024
- 2024Gender Bias Detection in Court Decisions: A Brazilian Case Study1 Jun 2024
- 2024Accounting for AI and Users Shaping One Another: The Role of Mathematical Models18 Apr 2024
- 2024Beyond Predictive Algorithms in Child Welfare26 Feb 2024
- 2023Riveter: Measuring Power and Social Dynamics Between Entities15 Dec 2023
- 2023Responsible AI Research Needs Impact Statements Too20 Nov 2023
12 newest of 47 All 47 (JSON)