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AI's Role in Climate Action: Innovations, Hurdles, and Pathways to Sustainability

EasyChair Preprint no. 12658

12 pagesDate: March 21, 2024


This abstract provides an overview of the role of artificial intelligence (AI) in climate action, exploring innovations, hurdles, and pathways to sustainability. As the global community grapples with the urgent need to mitigate the impacts of climate change, AI emerges as a powerful tool with transformative potential. Innovations in AI, such as machine learning algorithms, data analytics, and predictive modeling, offer new avenues for understanding and addressing complex climate challenges. However, the integration of AI in climate action also presents hurdles, including ethical considerations, data biases, and accessibility issues. This abstract highlights the importance of navigating these challenges while leveraging AI's capabilities to drive meaningful progress towards sustainability. By exploring promising pathways and best practices, this study aims to inform policymakers, researchers, and practitioners on the role of AI in shaping a more resilient and sustainable future for our planet.

Keyphrases: Hurdles, innovations, pathways

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {Jane Smith and Julia Anderson},
  title = {AI's Role in Climate Action: Innovations, Hurdles, and Pathways to Sustainability},
  howpublished = {EasyChair Preprint no. 12658},

  year = {EasyChair, 2024}}
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