Is AI causing collective intelligence research to become less diverse?


Understanding how AI can help us enhance collective human efforts to solve complex problems is at the heart of Nesta's vision for a public interest AI. AI is increasingly being used within all fields and collective intelligence is no exception. Earlier this year, our report on the Future of Minds & Machines first drew attention to the need for more imaginative approaches to combining AI & collective intelligence (CI) in practice. By mapping case studies of collective intelligence in action, we found that most projects applied a fairly narrow range of AI methods to make sense of vast amounts of passively generated or actively crowdsourced user content. Almost all of these methods rely on big datasets and use machine-learning to find structure and patterns in "messy" data.

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