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A Blockchain AI Solution to Climate Change
  • Thomas F Heston
Thomas F Heston
School of Medicine, Elson S Floyd College of Medicine, Washington State University University of Washington

Corresponding Author:[email protected]

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BACKGROUND: Climate change represents a critical global challenge, hindered by skepticism towards data manipulation and politicization. Trust in climate data and its policies is essential for effective climate action. OBJECTIVE: This perspective paper explores the synergistic potential of blockchain technology and Large Language Models (LLMs) in addressing climate change. It aims to demonstrate how their integration can enhance the transparency, reliability, and accessibility of climate science, thus rebuilding public trust and fostering more effective climate action. METHODS: The paper analyzes the roles of blockchain technology in enhancing transparency, traceability, and efficiency in carbon credit trading, renewable energy certificates, and sustainable supply chain management. It also examines the capabilities of LLMs in processing complex datasets to distill actionable intelligence. The synergistic effects of integrating both technologies for improved climate action are discussed alongside the challenges faced, such as scalability, energy consumption, and the necessity for high-quality data. RESULTS: Blockchain technology contributes to climate change mitigation by ensuring transparent and immutable recording of transactions and environmental impacts, fostering stakeholder trust and democratizing participation in climate initiatives. LLMs complement blockchain by providing deep insights and actionable intelligence from large datasets, facilitating evidence-based policymaking. The integration of both technologies promises enhanced data management, improved climate models, and more effective climate action initiatives. CHALLENGES: The paper identifies blockchain technologies' scalability, energy consumption, and the need for high-quality data for LLMs as significant challenges. It suggests advancements towards more energy-efficient consensus mechanisms and the development of sophisticated data preprocessing tools as potential solutions. CONCLUSION: The integration of blockchain technology and LLMs offers a transformative approach to climate change mitigation, enhancing the accuracy, transparency, and security of climate data and governance. This synergy addresses current limitations and futureproofs climate strategies, marking a cornerstone for the next generation of environmental stewardship.