October 17, 20250 citationsOpen Access

Governing AI Proactively: Cooperative Models of Anticipation and Accountability

Key Points

Cooperatives and marginalized communities can lead in AI governance by emphasizing collective accountability and economic democracy.
The study highlights case studies from Detroit's food justice movement and the Mondragón Corporation as examples of effective governance models.
This research proposes a framework for anticipatory governance that empowers communities and redistributes power in technology development.
The findings suggest that community-led innovation can reshape approaches to AI, moving away from traditional risk-based methods.

Abstract

This research investigates how cooperatives and marginalized communities can lead in governing AI systems by drawing on traditions of economic democracy and collective accountability. Through case studies in Detroit’s food justice movement and the Mondragón Corporation, I explore how these groups anticipate the social impacts of AI and co-design governance models rooted in their values. Moving beyond risk-based approaches, this work proposes a framework for anticipatory governance that redistributes power in technology development and centers community-led innovation.

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Jared Katzman (Wed,) studied this question.

synapsesocial.com/papers/68f19f1ade32064e504dda1d https://doi.org/https://doi.org/10.1609/aies.v8i3.36783