HAI Weekly Seminar with Renata Avila
Prototyping Feminist AI
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Prototyping Feminist AI
AI+Science: Accelerating Discovery is an interdisciplinary conference bringing together researchers across physics, mathematics, chemistry, biology, neuroscience, and more to examine how AI is reshaping scientific discovery. Experts will separate hype from reality, spotlighting where AI is already enabling genuine breakthroughs and where its limits and risks remain.

AI+Science: Accelerating Discovery is an interdisciplinary conference bringing together researchers across physics, mathematics, chemistry, biology, neuroscience, and more to examine how AI is reshaping scientific discovery. Experts will separate hype from reality, spotlighting where AI is already enabling genuine breakthroughs and where its limits and risks remain.
The African Olympiad Academy is a world-class high school dedicated to training Africa’s most promising students in mathematics, science, and artificial intelligence through olympiad-based pedagogy.

The African Olympiad Academy is a world-class high school dedicated to training Africa’s most promising students in mathematics, science, and artificial intelligence through olympiad-based pedagogy.
Despite the rapid adoption of LLM chatbots, little is known about how they are used. We approach this question theoretically and empirically, modeling a user who chooses whether to complete a task herself, ask the chatbot for information that reduces decision noise, or delegate execution to the chatbot...
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Despite the rapid adoption of LLM chatbots, little is known about how they are used. We approach this question theoretically and empirically, modeling a user who chooses whether to complete a task herself, ask the chatbot for information that reduces decision noise, or delegate execution to the chatbot...
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.
