Machine Unlearning

Alternative AI Futures is a hands-on workshop series that invites students to directly experiment with, critique, and modify contemporary AI systems in order to reimage how different design choices, cultural values, and shared goals could produce radically different forms of AI.

Each workshop will begin with a simple but provocative prompt: What if AI were built differently? More specifically, what if factors like transparency, accountability, and social responsibility were the primary values guiding AI system design? What would those systems look like? How would they behave? And how might they address commonly held concerns about the structural limitations and/or social consequences of AI? These “what if” questions will foreground the assumptions embedded in current AI systems and open space for imagining alternative futures for how AI might be built and used differently.

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