English

Resisting AI Solutionism through Workplace Collective Action

Computers and Society 2025-08-13 v1 Human-Computer Interaction

Abstract

In the face of increasing austerity and threats of AI-enabled labor replacement at the University of Michigan, a group of workers and students have coalesced around the project of "AI resistance" since Fall 2024. Forming a cross-departmental coalition including librarians, faculty, staff, graduate workers, and undergraduate students, we have hosted a public workshop questioning the techno-deterministic inevitability of AI use at the University and are working with other campus organizations to maintain an ongoing organizing space. This workshop submission incorporates our reflections thus far on the strategies we've employed, the challenges to collective resistance, and our role as workers in resisting AI within the University. Our aim for this work is to provide concrete inspiration for technologists, students, and staff looking to resist AI techno-solutionism within their own universities.

Keywords

Cite

@article{arxiv.2508.08313,
  title  = {Resisting AI Solutionism through Workplace Collective Action},
  author = {Kevin Zheng and Linda Huber and Aaron Stark and Nathan Kim and Francesca Lameiro and Wells Lucas Santo and Shreya Chowdhary and Eugene Kim and Justine Zhang},
  journal= {arXiv preprint arXiv:2508.08313},
  year   = {2025}
}

Comments

Presented at "Resisting AI Solutionism: Where Do We Go From Here?" workshop at CHI '25

R2 v1 2026-07-01T04:44:54.931Z