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Columbia Energy Exchange: Trump’s High-risk, High-reward AI Action Plan

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Content provided by interfluidity, subscribed podcasts. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by interfluidity, subscribed podcasts 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://ppacc.player.fm/legal.

In July, the Trump administration released what it calls an AI action plan. In it, along with several executive orders, the White House lays out its vision for building and expanding the country’s AI infrastructure.

Key tenets of that vision include removing regulatory hurdles and accelerating US dominance in the industry. It also has broad energy and security implications.

So how could the administration's high-risk, high-reward approach increase US market share in AI? Will it create tensions with major AI companies while potentially democratizing access to AI capabilities? And how does the plan diverge from Biden-era AI support, especially around environmental and energy considerations?

To discuss the action plan, we convened some of the leading AI experts at the Center for Global Energy Policy in early August, and this week on Columbia Energy Exchange we are sharing an audio recording of their discussion.

David Sandalow, CGEP’s inaugural fellow and the host of the AI, Energy and Climate podcast, moderated the panel. David also co-directs the Energy and Environment Concentration at the School of International and Public Affairs at Columbia University and was the lead author of the “Artificial Intelligence for Climate Change Mitigation Roadmap” report for the Innovation for Cool Earth Forum.

Aaron Bartnick, Jared Dunnmon, and Ashley Finan joined David on the webinar.

Aaron Bartnick is a global fellow at CGEP, where he focuses on technology and economic security. He also serves as chief of staff at the neural engineering company Science Corporation and as a fellow at Carnegie Mellon University’s Critical Technology Initiative.

Jared Dunnmon is a non-resident CGEP fellow and the co-founder and chief scientist of a maritime logistics startup. He previously served in the Department of Defense as technical director for artificial intelligence at the Defense Innovation Unit, was vice president of future technologies at battery firm Our Next Energy, and was an early team member at Snorkel AI.

Ashley Finan is a CGEP global fellow who previously served in senior leadership roles at Idaho National Laboratory, where she worked on nuclear energy and national security issues.

Credits: Hosted by Jason Bordoff and Bill Loveless. Produced by Mary Catherine O’Connor, Caroline Pitman, and Kyu Lee. Engineering by Gregory Vilfranc.

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162 episodes

Artwork
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Manage episode 501224271 series 3506872
Content provided by interfluidity, subscribed podcasts. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by interfluidity, subscribed podcasts 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://ppacc.player.fm/legal.

In July, the Trump administration released what it calls an AI action plan. In it, along with several executive orders, the White House lays out its vision for building and expanding the country’s AI infrastructure.

Key tenets of that vision include removing regulatory hurdles and accelerating US dominance in the industry. It also has broad energy and security implications.

So how could the administration's high-risk, high-reward approach increase US market share in AI? Will it create tensions with major AI companies while potentially democratizing access to AI capabilities? And how does the plan diverge from Biden-era AI support, especially around environmental and energy considerations?

To discuss the action plan, we convened some of the leading AI experts at the Center for Global Energy Policy in early August, and this week on Columbia Energy Exchange we are sharing an audio recording of their discussion.

David Sandalow, CGEP’s inaugural fellow and the host of the AI, Energy and Climate podcast, moderated the panel. David also co-directs the Energy and Environment Concentration at the School of International and Public Affairs at Columbia University and was the lead author of the “Artificial Intelligence for Climate Change Mitigation Roadmap” report for the Innovation for Cool Earth Forum.

Aaron Bartnick, Jared Dunnmon, and Ashley Finan joined David on the webinar.

Aaron Bartnick is a global fellow at CGEP, where he focuses on technology and economic security. He also serves as chief of staff at the neural engineering company Science Corporation and as a fellow at Carnegie Mellon University’s Critical Technology Initiative.

Jared Dunnmon is a non-resident CGEP fellow and the co-founder and chief scientist of a maritime logistics startup. He previously served in the Department of Defense as technical director for artificial intelligence at the Defense Innovation Unit, was vice president of future technologies at battery firm Our Next Energy, and was an early team member at Snorkel AI.

Ashley Finan is a CGEP global fellow who previously served in senior leadership roles at Idaho National Laboratory, where she worked on nuclear energy and national security issues.

Credits: Hosted by Jason Bordoff and Bill Loveless. Produced by Mary Catherine O’Connor, Caroline Pitman, and Kyu Lee. Engineering by Gregory Vilfranc.

  continue reading

162 episodes

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