University of Mumbai, Mumbai, India
* Corresponding author. Email: nitinrane33@gmail.com (N.L.R.)
Manuscript submitted January 5, 2024; accepted January 23, 2024; published March 21, 2024.
Abstract—The urgent acceleration of climate change necessitates the development of innovative and adaptive mitigation strategies. This study investigates how ChatGPT or Bard, an advanced language model, enhances efforts to mitigate climate change. By leveraging natural language processing and machine learning, ChatGPT facilitates improved communication, collaboration, and decision-making among stakeholders, thereby accelerating the implementation of mitigation strategies. The paper begins by examining the context of climate change, emphasizing the need for robust mitigation measures. It underscores the limitations of traditional approaches and introduces the transformative potential of integrating ChatGPT into climate action frameworks. The model's capacity to analyze extensive datasets and generate human-like text allows it to comprehend intricate climate science, distill key insights, and communicate them effectively. The study also explores ChatGPT's role in enhancing climate resilience through advanced risk assessment and adaptation planning. By analyzing climate data, the model assists in identifying vulnerable regions and developing targeted strategies for infrastructure resilience, disaster preparedness, and community engagement. The collaborative approach is essential for addressing the transboundary nature of climate change and achieving international climate goals. By harnessing the model's capabilities, stakeholders can unlock new dimensions of innovation, communication, and collaboration, paving the way for a more sustainable and resilient future.
keywords—climate change, ChatGPT, bard, artificial intelligence, greenhouse gas, sustainable development, forecasting, decision making
Cite: Nitin Liladhar Rane, Saurabh P. Choudhary, Jayesh Rane"Contribution of ChatGPT and Similar Generative Artificial Intelligence for Enhanced Climate Change Mitigation Strategies," Journal of Advances in Artificial Intelligence vol. 2, no. 1, pp. 79-95, 2024.
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