The chapter delves into AI's potential in combating climate misinformation by providing untampered imagery and validating truthful data. It explores AI's energy consumption, comparing it to industries like Bitcoin, and discusses efforts by AI companies to use renewable energy sources. The conversation also touches on AI's application in optimizing renewable energy systems, grid emissions reduction, and enhancing prediction capabilities for extreme weather events.
Artificial intelligence can do some pretty amazing things, including for the climate. AI can help optimize the electric grid, make heating and cooling buildings more efficient, and pinpoint exactly where greenhouse gas emissions are coming from all around the world.
On the other hand, the energy use of AI is massive and growing. A recent study estimates that in just a few years, the extra energy needed will equal whole countries the size of Sweden or Argentina. How do we make sure the benefits of AI outweigh its energy costs?
Guests
Karen Hao, Contributing Writer, The Atlantic
Gavin McCormick, Cofounder and Executive Director, WattTime; Cofounder, Climate TRACE
Priya Donti, Assistant Professor, MIT; Co-founder and Chair of Climate Change AI
Amy McGovern, Professor of Computer Science, University of Oklahoma
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