Stefan Ivanovski with Lila Gaudêncio, Morshed Manan, Amanda Claro, Barış Taşkın, Yuliy Lobarev
This session, led by Stefan Ivanovski, explores four interconnected dimensions of cooperative AI development. It begins with questions of business and financing, examining how cooperatives and social enterprises can fund AI initiatives while weighing associated risks and opportunities, with perspectives from Lila Gaudêncio. The discussion then moves to law and governance, addressing which governance models best support global cooperative tech ventures and what lessons can be drawn from hierarchical firms, featuring Morshed Mannan. From there, the focus shifts to politics, considering how cooperatives can influence policy to advance worker-owned AI and what global legal frameworks and movement strategies exist, with Amanda Claro. Finally, the session turns to infrastructure, debating whether cooperatives should build independent hardware or collaborate with incumbents, and exploring possible pathways for cooperative AI infrastructure with Barış Taşkın and Yuliy Lobarev.
Speakers
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Lila Gaudêncio Ph.D. candidate, University of Cambridge
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Barış Taşkın Cooperative ethical tech innovator, Patio
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Morshed Mannan Lecturer in Global Law and Digital Technologies at Edinburgh Law School, University of Edinburgh
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Amanda Claro Ph.D. Student in Organization Studies, Fundação Getulio Vargas, São Paulo School of Business Administration
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Stefan Ivanovski Ph.D. student, Cornell University
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Yuliy Lobarev Cooperative governance researcher, Patio