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The relevance of modern digital technology in tackling environmental, economic, and social concerns is becoming more widely recognized in contemporary discussions about sustainable development. Among these technologies, artificial intelligence (AI) has emerged as an important analytical and operational tool for improving decision-making, increasing resource efficiency, and enabling evidence-based policy interventions. However, integrating AI into sustainability frameworks necessitates a thorough evaluation of its methodological underpinnings, practical uses, and governance consequences. This edited volume, Artificial Intelligence-Driven Sustainability: Synergy between Policy Frameworks and Innovative Solutions, aims to contribute to the scholarly conversation by providing research that critically engages with these interconnected elements.
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