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AI and Energy: What do we know? What are we learning?

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Manage episode 513518577 series 3347538
Content provided by Lawfare and University of Texas Law School. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Lawfare and University of Texas Law School 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.

Mosharaf Chowdhury, associate professor at the University of Michigan and director of the ML Energy lab, and Dan Zhou, AI researcher at MIT, GoogleX, and Microsoft focused on AI for science and sustainable and energy-efficient AI, join Kevin Frazier, AI Innovation and Law Fellow at the University of Texas School of Law and a Senior Editor at Lawfare, to discuss the energy costs of AI.

They break down exactly how much a energy fuels a single ChatGPT query, why this is difficult to figure out, how we might improve energy efficiency, and what kinds of policies might minimize AI’s growing energy and environmental costs.

Leo Wu provided excellent research assistance on this podcast.

Read more from Mosharaf:

https://ml.energy/

https://www.technologyreview.com/2025/05/20/1116327/ai-energy-usage-climate-footprint-big-tech/

Read more from Dan:

https://arxiv.org/abs/2310.03003

https://arxiv.org/abs/2301.11581


Hosted on Acast. See acast.com/privacy for more information.

  continue reading

179 episodes

Artwork
iconShare
 
Manage episode 513518577 series 3347538
Content provided by Lawfare and University of Texas Law School. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Lawfare and University of Texas Law School 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.

Mosharaf Chowdhury, associate professor at the University of Michigan and director of the ML Energy lab, and Dan Zhou, AI researcher at MIT, GoogleX, and Microsoft focused on AI for science and sustainable and energy-efficient AI, join Kevin Frazier, AI Innovation and Law Fellow at the University of Texas School of Law and a Senior Editor at Lawfare, to discuss the energy costs of AI.

They break down exactly how much a energy fuels a single ChatGPT query, why this is difficult to figure out, how we might improve energy efficiency, and what kinds of policies might minimize AI’s growing energy and environmental costs.

Leo Wu provided excellent research assistance on this podcast.

Read more from Mosharaf:

https://ml.energy/

https://www.technologyreview.com/2025/05/20/1116327/ai-energy-usage-climate-footprint-big-tech/

Read more from Dan:

https://arxiv.org/abs/2310.03003

https://arxiv.org/abs/2301.11581


Hosted on Acast. See acast.com/privacy for more information.

  continue reading

179 episodes

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