Tootfinder

Resisting AI Solutionism through Workplace Collective Action
Kevin Zheng, Linda Huber, Aaron Stark, Nathan Kim, Francesca Lameiro, Wells Lucas Santo, Shreya Chowdhary, Eugene Kim, Justine Zhang
https://arxiv.org/abs/2508.08313

Resisting AI Solutionism through Workplace Collective Action
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 …

Ask before you Build: Rethinking AI-for-Good in Human Trafficking Interventions
Pratheeksha Nair, Gabriel Lefebvre, Sophia Garrel, Maryam Molamohammadi, Reihaneh Rabbany
https://arxiv.org/abs/2506.22512

Ask before you Build: Rethinking AI-for-Good in Human Trafficking Interventions
AI for good initiatives often rely on the assumption that technical interventions can resolve complex social problems. In the context of human trafficking (HT), such techno-solutionism risks oversimplifying exploitation, reinforcing power imbalances and causing harm to the very communities AI claims to support. In this paper, we introduce the Radical Questioning (RQ) framework as a five step, pre-project ethical assessment tool to critically evaluate whether AI should be built at all, especiall…