Towards sustainable futures: Al framework for ESG performance enhancement

Abstract

With the growing global emphasis on sustainability, organizations are increasingly acknowledging the role of Environmental, Social, and Governance (ESG) factors in their operational strategies. However, effectively enhancing ESG performance entails navigating complex challenges such as sophisticated data analysis, regulatory demands, and engaging with stakeholders. This paper introduces a novel framework aimed at advancing ESG outcomes by incorporating artificial intelligence (AI) solutions that yield actionable insights, streamline decision-making, and foster sustainable development. Through an extensive review of literature and case studies, this study identifies essential components of an AI-centric framework—data integration, predictive analytics, and decision support systems. Furthermore, it explores the potential benefits, challenges, and ethical considerations of adopting AI for ESG performance enhancement. By enabling more proactive, informed approaches to sustainability, this framework represents a strategic pathway towards achieving sustainable futures in today’s interconnected and complex world.