mlsanityData to 7 Oct 2026

AI Workers, Geopolitics, and Algorithmic Collective Action

arXiv 2511.17331 ↗First posted 21 Nov 2025cs.CY cs.AI cs.HCcited by 1

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Abstract (arXiv)

According to the theory of International Political Economy (IPE), states are often incentivized to rely on rather than constrain powerful corporations. For this reason, IPE provides a useful lens to explain why efforts to govern Artificial Intelligence (AI) at the international and national levels have thus far been developed, applied, and enforced unevenly. Building on recent work that explores how AI companies engage in geopolitics, this position paper argues that some AI workers can be considered actors of geopolitics. It makes the timely case that governance alone cannot ensure responsible, ethical, or robust AI development and use, and greater attention should be paid to bottom-up interventions at the site of AI development. AI workers themselves should be situated as individual agents of change, especially when considering their potential to foster Algorithmic Collective Action (ACA). Drawing on methods of Participatory Design (PD), this paper proposes engaging AI workers as sources of knowledge, relative power, and intentionality to encourage more responsible and just AI development and create the conditions that can facilitate ACA.

Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 17 of its 93 references that are in the map. First posted on arXiv 21 Nov 2025.

Builds on

17 of 93 references.

References · 17

  1. 2023Algorithmic Collective Action in Machine Learningcited by 30
  2. 2018POTs: Protective Optimization Technologiescited by 28
  3. 2022Worldwide AI Ethics: a review of 200 guidelines and recommendations for AI governancecited by 28
  4. 2024Mapping the individual, social, and biospheric impacts of Foundation Modelscited by 8
  5. 2024Decline Now: A Combinatorial Model for Algorithmic Collective Actioncited by 8
  6. 2024How Do AI Companies "Fine-Tune" Policy? Examining Regulatory Capture in AI Governancecited by 7
  7. 2024AI, Global Governance, and Digital Sovereigntycited by 4
  8. 2025Conversational Agents as Catalysts for Critical Thinking: Challenging Social Influence in Group Decision-makingcited by 4
  9. 2025Crowding Out The Noise: Algorithmic Collective Action Under Differential Privacycited by 4
  10. 2023Unlikely Organizers: The Rise of Labor Activism Among Professionals in the U.S. Technology Industrycited by 3
  11. 2025Minority Collective Action for User-Side Fairnesscited by 3
  12. 2020Activism by the AI Community: Analysing Recent Achievements and Future Prospectscited by 2
5 more
  1. 2025Silicon Sovereigns: Artificial Intelligence, International Law, and the Tech-Industrial Complexcited by 2
  2. 2025Generative AI as a Geopolitical Factor in Industry 5.0: Sovereignty, Access, and Controlcited by 2
  3. 2025100,000 or the Robot Gets it! Tech Workers' Resistance Guide: Tech Worker Actions, History, Risks, Impacts, and the Case for a Radical Flankcited by 2
  4. 2023"We need to do more ... I need to do more": Augmenting Digital Media Consumption via Critical Reflection to Increase Compassion and Promote Prosocial Attitudes and Behaviorscited by 1
  5. 2025Towards Adaptive AI Governance: Comparative Insights from the U.S., EU, and Asiacited by 1

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Citing papers per year: 2026: 1.

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