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The paper addresses mitigation strategies for AI-driven carbon emissions in cloud infrastructure, suggesting key interventions.
The rapid proliferation of Artificial Intelligence (AI) and high-performance cloud computing hascreated a critical tension between technological advancement and environmental sustainability. WhileAI offers transformative potential for organizational efficiency, its 'hidden' environmental costs—driven by massive electricity consumption, water-intensive cooling, and electronic waste—threatenglobal net-zero objectives. This paper addresses a significant research gap in the field of InformationResou
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IVONGBE, IVONGBE, (2026) studied this question.
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