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Climate Solutions Powered by AI: Enabling Environmental Stewardship

EasyChair Preprint no. 12660

12 pagesDate: March 21, 2024


This abstract delves into the transformative potential of artificial intelligence (AI) in driving climate solutions and enabling environmental stewardship. As the urgency to address climate change intensifies, AI emerges as a powerful tool with the capability to revolutionize how we understand, monitor, and mitigate environmental challenges. Through advanced data analytics, predictive modeling, and optimization techniques, AI offers innovative solutions for a wide range of climate-related issues, including weather forecasting, renewable energy optimization, carbon sequestration, and ecosystem management. This abstract explores how AI-enabled technologies empower environmental stewardship by enhancing our ability to make informed decisions, optimize resource allocation, and develop sustainable practices. However, the widespread adoption of AI in climate solutions also presents challenges, including ethical considerations, data privacy concerns, and the need for equitable access to technology. By examining both the promises and pitfalls of AI-powered climate solutions, this abstract aims to inform policymakers, researchers, and stakeholders about the opportunities and responsibilities associated with harnessing AI for environmental stewardship in the pursuit of a more sustainable future.

Keyphrases: Enabling, Environmental, stewardship

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {Danny Thomas and Julia Anderson},
  title = {Climate Solutions Powered by AI: Enabling Environmental Stewardship},
  howpublished = {EasyChair Preprint no. 12660},

  year = {EasyChair, 2024}}
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