Human-Computer Insurrection: Notes on an Anarchist HCI
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Abstract (arXiv)
The HCI community has worked to expand and improve our consideration of the societal implications of our work and our corresponding responsibilities. Despite this increased engagement, HCI continues to lack an explicitly articulated politic, which we argue re-inscribes and amplifies systemic oppression. In this paper, we set out an explicit political vision of an HCI grounded in emancipatory autonomy - an anarchist HCI, aimed at dismantling all oppressive systems by mandating suspicion of and a reckoning with imbalanced distributions of power. We outline some of the principles and accountability mechanisms that constitute an anarchist HCI. We offer a potential framework for radically reorienting the field towards creating prefigurative counterpower - systems and spaces that exemplify the world we wish to see, as we go about building the revolution in increment.
Key facts. Cited by 7 papers in the map (data through 14 Oct 2026). First posted on arXiv 10 Aug 2019.
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Citing papers per year: 2021: 2; 2022: 0; 2023: 1; 2024: 1; 2025: 0; 2026: 3.
7 papers.
- 2021Do Datasets Have Politics? Disciplinary Values in Computer Vision Dataset Developmentcited by 85
- 2024Stop! In the Name of Flaws: Disentangling Personal Names and Sociodemographic Attributes in NLPcited by 22
- 2021Beyond "Fairness:" Structural (In)justice Lenses on AI for Educationcited by 12
- 2023DiffusionWorldViewer: Exposing and Broadening the Worldview Reflected by Generative Text-to-Image Modelscited by 3
- 2026What is Safety? Corporate Discourse, Power, and the Politics of Generative AI Safetycited by 1
- 2026Information Access of the Oppressed: Freirean Design for Emancipatory Information Accesscited by 0
- 2026Slurry-as-a-Service: A Modest Proposal on Scalable Pluralistic Alignment for Nutrient Optimizationcited by 0
- 2026Slurry-as-a-Service: A Modest Proposal on Scalable Pluralistic Alignment for Nutrient Optimization2 Mar 2026
- 2026What is Safety? Corporate Discourse, Power, and the Politics of Generative AI Safety26 Jan 2026
- 2026Information Access of the Oppressed: Freirean Design for Emancipatory Information Access14 Jan 2026
- 2024Stop! In the Name of Flaws: Disentangling Personal Names and Sociodemographic Attributes in NLP27 May 2024
- 2023DiffusionWorldViewer: Exposing and Broadening the Worldview Reflected by Generative Text-to-Image Models18 Sep 2023
- 2021Do Datasets Have Politics? Disciplinary Values in Computer Vision Dataset Development9 Aug 2021
- 2021Beyond "Fairness:" Structural (In)justice Lenses on AI for Education18 May 2021