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Prototyping Feminist AI
The AI Index, currently in its ninth year, tracks, collates, distills, and visualizes data relating to artificial intelligence.
The AI Index, currently in its ninth year, tracks, collates, distills, and visualizes data relating to artificial intelligence.
The possibility that AI will automate most cognitive labor is worth taking seriously. How should we adapt to this transformation? I start from the perspective, articulated in the essay “AI as normal technology”, that the true bottlenecks lie downstream of capabilities and that AI’s impacts will unfold gradually over decades. If this is true, there are major gaps in our current evidence infrastructure, because it over-emphasizes the capability layer.
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The possibility that AI will automate most cognitive labor is worth taking seriously. How should we adapt to this transformation? I start from the perspective, articulated in the essay “AI as normal technology”, that the true bottlenecks lie downstream of capabilities and that AI’s impacts will unfold gradually over decades. If this is true, there are major gaps in our current evidence infrastructure, because it over-emphasizes the capability layer.
How can feminist methodologies and approaches be applied and be transformative when developing AI and ADM systems? How can AI innovation and social systems innovation be catalysed concomitantly to create a positive movement for social change larger than the sum of the data science or social science parts? How can we produce actionable research that will lead to the profound changes needed - from scratch - in the processes to produce AI? Can we prototype better digital futures? Which disciplines should we include? Where are the gaps? And how can we make a strong case to prototype different, better digital futures, before embarking on big AI projects in the public sector? The seminar will collect ideas and experiences from different disciplines to draft a blueprint for a better modelled digital future.
