mlsanityData to 7 Oct 2026

Reconfiguring Participatory Design to Resist AI Realism

arXiv 2406.03245 ↗First posted 5 Jun 2024cs.HC cs.AI cs.SIcited by 2

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Abstract (arXiv)

The growing trend of artificial intelligence (AI) as a solution to social and technical problems reinforces AI Realism -- the belief that AI is an inevitable and natural order. In response, this paper argues that participatory design (PD), with its focus on democratic values and processes, can play a role in questioning and resisting AI Realism. I examine three concerning aspects of AI Realism: the facade of democratization that lacks true empowerment, demands for human adaptability in contrast to AI systems' inflexibility, and the obfuscation of essential human labor enabling the AI system. I propose resisting AI Realism by reconfiguring PD to continue engaging with value-centered visions, increasing its exploration of non-AI alternatives, and making the essential human labor underpinning AI systems visible. I position PD as a means to generate friction against AI Realism and open space for alternative futures centered on human needs and values.

Key facts. Cited by 2 papers in the map (data through 7 Oct 2026). Builds on 7 of its 52 references that are in the map. First posted on arXiv 5 Jun 2024.

Builds on

7 of 52 references.

References · 7

  1. 2018Datasheets for Datasetscited by 1,371
  2. 2018Model Cards for Model Reportingcited by 1,068
  3. 2020Closing the AI Accountability Gap: Defining an End-to-End Framework for Internal Algorithmic Auditingcited by 380
  4. 2022Data Cards: Purposeful and Transparent Dataset Documentation for Responsible AIcited by 169
  5. 2022Power to the People? Opportunities and Challenges for Participatory AIcited by 137
  6. 2023The Participatory Turn in AI Design: Theoretical Foundations and the Current State of Practicecited by 86
  7. 2022Whose AI Dream? In search of the aspiration in data annotationcited by 24

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Citing papers per year: 2024: 2.

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