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The paper discusses the complex sociotechnical ecology of artificial intelligence (AI), highlighting systemic challenges such as power concentration, environmental costs, and data extraction by technology companies. It emphasizes the need for equitable governance approaches that address both upstream and downstream issues associated with AI technologies. Four governance imperatives are proposed to foster sustainable and just AI futures, including decentralizing infrastructure and enhancing international coo

Author

alattar.mariam

Language

EN