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Content provided by Environmental and Energy Study Institute (EESI) and Energy Study Institute (EESI). All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Environmental and Energy Study Institute (EESI) and Energy Study Institute (EESI) or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.
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Artificial Intelligence: Implications for Energy and the Environment

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Manage episode 512618912 series 2414543
Content provided by Environmental and Energy Study Institute (EESI) and Energy Study Institute (EESI). All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Environmental and Energy Study Institute (EESI) and Energy Study Institute (EESI) or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

The Environmental and Energy Study Institute (EESI) held a briefing discussing the intersection of artificial intelligence (AI) and climate change in federal policy-making. While AI can aid in climate resilience and boost economic competitiveness, it is also on a trajectory to increase energy demand, greenhouse gas emissions, and water usage. This paradox presents an important opportunity for discussion on how to best minimize the negative impacts of AI on the environment and harness its powers for a sustainable future.

This briefing provided a foundational understanding of AI’s role in the climate and energy arena. Panelists discussed the massive energy and water needs of data centers that run AI algorithms. They also layed out how the technology is already being put to use—from precision agriculture to resilient grid infrastructure and improved weather forecasting. The briefing highlighted the frontiers of AI, including the federal government’s role in research and development at the Department of Energy’s National Laboratories, and explored Congress’s role in aligning the rapid rise of AI development and usage with global goals to reduce greenhouse gas emissions and adapt to climate impacts.

  continue reading

225 episodes

Artwork
iconShare
 
Manage episode 512618912 series 2414543
Content provided by Environmental and Energy Study Institute (EESI) and Energy Study Institute (EESI). All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Environmental and Energy Study Institute (EESI) and Energy Study Institute (EESI) or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

The Environmental and Energy Study Institute (EESI) held a briefing discussing the intersection of artificial intelligence (AI) and climate change in federal policy-making. While AI can aid in climate resilience and boost economic competitiveness, it is also on a trajectory to increase energy demand, greenhouse gas emissions, and water usage. This paradox presents an important opportunity for discussion on how to best minimize the negative impacts of AI on the environment and harness its powers for a sustainable future.

This briefing provided a foundational understanding of AI’s role in the climate and energy arena. Panelists discussed the massive energy and water needs of data centers that run AI algorithms. They also layed out how the technology is already being put to use—from precision agriculture to resilient grid infrastructure and improved weather forecasting. The briefing highlighted the frontiers of AI, including the federal government’s role in research and development at the Department of Energy’s National Laboratories, and explored Congress’s role in aligning the rapid rise of AI development and usage with global goals to reduce greenhouse gas emissions and adapt to climate impacts.

  continue reading

225 episodes

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