0:00-27:12
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Building on their exploration of alternatives to today’s dominant AI paradigm, David and Kate discuss what a community-centred approach to AI might look like. They explore the importance of collaboration, deep interoperability, distributed ownership, and adaptability, arguing that effective AI systems should strengthen communities rather than replace them. The conversation considers how communities can retain agency over their data, tools, and knowledge while remaining connected to wider networks of learning and innovation.
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