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Data Commons as Infrastructure for Indigenous-Led AI

Article by Stefaan Verhulst and Andrew Zahuranec: “What would it take for Indigenous communities not simply to be represented in the emerging AI ecosystem but to shape, govern, and benefit from it?

That question is what animated our event during UNGA High-Level Week on Advancing Public Interest AI Through Data Commons for Indigenous Languages and Cultures. 

The discussion brought together Indigenous leaders and technologists, funders, researchers, international organizations, civil society, and industry around a growing challenge: As AI becomes embedded in education, public services, cultural production, and everyday life, many Indigenous communities are being drawn into AI systems that they did not design, using data they may not control, and reflecting assumptions and values that may not be their own.

The stakes are particularly high for Indigenous languages and cultural knowledge. AI could become a powerful instrument for language revitalization, education, cultural transmission, and economic opportunity. But without different approaches to data, infrastructure, governance, and investment, it could just as easily reproduce longstanding patterns of extraction while amplifying misinformation. This leads to weaker foundations of reliable information for AI and other systems that subsequently harm communities…Five themes emerged from the discussion…(More)”.

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