How to Give AI a Bad Carbon Footprint
with David Patterson
March 31, 2026
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How to Give AI a Bad Carbon Footprint
About the Session
David will give tongue-in-cheek advice on how to make AI's carbon footprint worse, and then how to make it better. He will dispel common fallacies about AI's emissions. Learn key factors influencing AI's carbon footprint and gain valuable perspectives on building more sustainable AI systems, and what is the actual largest carbon footprint in information technology.
Speaker
David Patterson
Distinguished Software Engineer, Google
David Patterson retired after 40 years as an EECS professor at UC Berkeley before joining Google in 2016. He is probably best known for the book Computer Architecture: A Quantitative Approach and for the Berkeley RISC (Reduced Instruction Set Computer), RAID (Redundant Array of Inexpensive Disks) and NOW (Network of Workstations) projects. He and his co-author John Hennessy shared the 2017 ACM A.M Turing Award (the “Nobel Prize of Computing”) and the 2022 NAE Charles Stark Draper Prize for Engineering (a “Nobel Prize of Engineering”).
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