{"version":"1.0","type":"rich","provider_name":"Acast","provider_url":"https://acast.com","height":250,"width":700,"html":"<iframe src=\"https://embed.acast.com/$/61e878a1419a9b0013b27134/69ead11b6e5b90839a881f10?\" frameBorder=\"0\" width=\"700\" height=\"250\"></iframe>","title":"Facts & Myths About AI's Energy Usage with Gavin McCormick","description":"<p>In this episode of Scaling Laws, we explore how the \"black box\" of global greenhouse gas emissions is being cracked open by artificial intelligence and satellite imagery.&nbsp;</p><p><br></p><p>Kevin Frazier, Director of the AI Innovation and Law Program at the University of Texas School of Law and a Senior Fellow at the Abundance Institute, talks with Gavin McCormick, the founder of ClimateTrace, a global coalition that has revolutionized the process of identifying and quantifying emissions.</p><p><br></p><p>For decades, climate policy has relied on self-reported data from nations and corporations—a system prone to gaps and \"greenwashing.\" McCormick’s work leverages machine learning to monitor every major source of emissions on Earth in near real-time. We discuss the legal implications of \"radical transparency,\" how AI-driven data can be used to enforce regulations and measure claims, and the myths and facts of AI’s environmental consequences.</p><p><strong>&nbsp;</strong></p><p>To get in touch with us, email scalinglaws@lawfaremedia.org.</p><p><br></p><p>Logan Le-Jeffries, a member of the AI Wranglers student program at the University of Texas School of Law, provided research assistance with this episode.</p><p><br></p>","author_name":"Lawfare & University of Texas Law School"}