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9. Policy and Legal Regulatory Landscape for Artificial Intelligence in Carbon Management

  • 2025
  • OriginalPaper
  • Chapter
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Abstract

This chapter delves into the policies and legal frameworks that govern the use of artificial intelligence (AI) in carbon management, a critical area in the fight against climate change. It explores how AI technologies can optimize energy use, reduce emissions, and enhance decision-making processes. The chapter begins by examining the global policy and legal regulatory landscape for AI in carbon management, highlighting the role of AI in carbon capture and storage (CCS) and other emission reduction strategies. It also discusses the current challenges and limitations of carbon management in India, including the dominance of fossil fuels, industrial emissions, and the lack of infrastructure and technology. The chapter then reviews existing literature and research methodologies, emphasizing the need for a comprehensive understanding of the global landscape. It also explores the role of technology in addressing carbon management, with a focus on the logistics and transportation sector. The chapter concludes by discussing the potential benefits and opportunities of AI in carbon management, as well as the challenges and risks associated with its implementation. It also examines the legal framework for AI in carbon management, including intellectual property and green innovation, data protection and privacy, and regulatory oversight and compliance. The chapter concludes with a discussion on the future directions and emerging trends in AI-powered carbon management projects, providing a roadmap for stakeholders to navigate this evolving landscape.

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Title
Policy and Legal Regulatory Landscape for Artificial Intelligence in Carbon Management
Authors
Aranya Nath
Srishti Roy Barman
Rasika Pramod Bangre
Copyright Year
2025
Publisher
Springer Nature Singapore
DOI
https://doi.org/10.1007/978-981-96-7434-3_9
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