mlsanityData to 7 Oct 2026

Participation is not a Design Fix for Machine Learning

arXiv 2007.02423 ↗First posted 5 Jul 2020cs.CY cs.LGcited by 110

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Abstract (arXiv)

This paper critically examines existing modes of participation in design practice and machine learning. Cautioning against 'participation-washing', it suggests that the ML community must become attuned to possibly exploitative and extractive forms of community involvement and shift away from the prerogatives of context-independent scalability.

Key facts. Cited by 110 papers in the map (data through 7 Oct 2026). First posted on arXiv 5 Jul 2020.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 8; 2022: 16; 2023: 21; 2024: 12; 2025: 25; 2026: 28.

110 papers.

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  1. 2021Ethical and social risks of harm from Language Modelscited by 957
  2. 2022Improving alignment of dialogue agents via targeted human judgementscited by 527
  3. 2023The BigScience ROOTS Corpus: A 1.6TB Composite Multilingual Datasetcited by 148
  4. 2023The Participatory Turn in AI Design: Theoretical Foundations and the Current State of Practicecited by 86
  5. 2021A Survey of Race, Racism, and Anti-Racism in NLPcited by 74
  6. 2021Assessing the Fairness of AI Systems: AI Practitioners' Processes, Challenges, and Needs for Supportcited by 61
  7. 2023AI's Regimes of Representation: A Community-centered Study of Text-to-Image Models in South Asiacited by 54
  8. 2022Accountability in an Algorithmic Society: Relationality, Responsibility, and Robustness in Machine Learningcited by 47
  9. 2023Queer In AI: A Case Study in Community-Led Participatory AIcited by 33
  10. 2024Participation in the age of foundation modelscited by 32
  11. 2022Understanding Practices, Challenges, and Opportunities for User-Engaged Algorithm Auditing in Industry Practicecited by 30
  12. 2021Envisioning Communities: A Participatory Approach Towards AI for Social Goodcited by 29
38 more
  1. 2022Seeing Like a Toolkit: How Toolkits Envision the Work of AI Ethicscited by 28
  2. 2023Building Socio-culturally Inclusive Stereotype Resources with Community Engagementcited by 25
  3. 2022Rethinking Fairness: An Interdisciplinary Survey of Critiques of Hegemonic ML Fairness Approachescited by 23
  4. 2024Real Risks of Fake Data: Synthetic Data, Diversity-Washing and Consent Circumventioncited by 21
  5. 2022Seamful XAI: Operationalizing Seamful Design in Explainable AIcited by 20
  6. 2023Designerly Understanding: Information Needs for Model Transparency to Support Design Ideation for AI-Powered User Experiencecited by 18
  7. 2025Reality Check: A New Evaluation Ecosystem Is Necessary to Understand AI's Real World Effectscited by 18
  8. 2022Imagining new futures beyond predictive systems in child welfare: A qualitative study with impacted stakeholderscited by 15
  9. 2022Gathering Strength, Gathering Storms: The One Hundred Year Study on Artificial Intelligence (AI100) 2021 Study Panel Reportcited by 14
  10. 2023NLP for Maternal Healthcare: Perspectives and Guiding Principles in the Age of LLMscited by 14
  11. 2022A Systematic Review and Thematic Analysis of Community-Collaborative Approaches to Computing Researchcited by 13
  12. 2023Scaling Laws Do Not Scalecited by 13
  13. 2021Beyond "Fairness:" Structural (In)justice Lenses on AI for Educationcited by 12
  14. 2023Going public: the role of public participation approaches in commercial AI labscited by 11
  15. 2025Evaluating Multimodal Language Models as Visual Assistants for Visually Impaired Userscited by 11
  16. 2023Bound by the Bounty: Collaboratively Shaping Evaluation Processes for Queer AI Harmscited by 10
  17. 2024The Future of Open Human Feedbackcited by 10
  18. 2025"Ownership, Not Just Happy Talk": Co-Designing a Participatory Large Language Model for Journalismcited by 10
  19. 2023CreoleVal: Multilingual Multitask Benchmarks for Creolescited by 9
  20. 2023Designing Fiduciary Artificial Intelligencecited by 8
  21. 2025LIVS: A Pluralistic Alignment Dataset for Inclusive Public Spacescited by 8
  22. 2021Empowering Local Communities Using Artificial Intelligencecited by 7
  23. 2022Social Inclusion in Curated Contexts: Insights from Museum Practicescited by 7
  24. 2025Benchmarking Overton Pluralism in LLMscited by 7
  25. 2022Are There Exceptions to Goodhart's Law? On the Moral Justification of Fairness-Aware Machine Learningcited by 6
  26. 2022Data Representativeness in Accessibility Datasets: A Meta-Analysiscited by 6
  27. 2024Data Feminism for AIcited by 6
  28. 2024Studying Up Public Sector AI: How Networks of Power Relations Shape Agency Decisions Around AI Design and Usecited by 6
  29. 2022Definition drives design: Disability models and mechanisms of bias in AI technologiescited by 5
  30. 2023Is a Seat at the Table Enough? Engaging Teachers and Students in Dataset Specification for ML in Educationcited by 5
  31. 2025Stakeholder Participation for Responsible AI Development: Disconnects Between Guidance and Current Practicecited by 5
  32. 2021Design-Driven Requirements for Computationally Co-Creative Game AI Design Toolscited by 3
  33. 2023FeedbackLogs: Recording and Incorporating Stakeholder Feedback into Machine Learning Pipelinescited by 3
  34. 2023Human-in-the-loop Fairness: Integrating Stakeholder Feedback to Incorporate Fairness Perspectives in Responsible AIcited by 3
  35. 2024Understanding "Democratization" in NLP and ML Researchcited by 3
  36. 2024Surveys Considered Harmful? Reflecting on the Use of Surveys in AI Research, Development, and Governancecited by 3
  37. 2024Thoughtful Adoption of NLP for Civic Participation: Understanding Differences Among Policymakerscited by 3
  38. 2025The Right to AIcited by 3

50 most cited of 110 All 110 (JSON)