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Join Turing Award laureate David Patterson for a look at the environmental considerations of AI. 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.
Resources:
The Carbon Footprint of Machine Learning Training Will Plateau, Then Shrink → https://goo.gle/3GMakKa
Energy and Emissions of Machine Learning on Smartphones versus the Cloud: A Google Case Study → https://goo.gle/4k9Nlab
Energy Is Physics, but Emissions Is Accounting: What’s Really Green? → https://goo.gle/459Tpeq
Life-Cycle Emissions of AI Hardware: A Cradle-To-Grave Approach and Generational Trends → https://goo.gle/44vWPIo
Speakers: David Patterson
Check out the AI session track from Google I/O 2025 → https://goo.gle/io25-ai-yt
Check out all the Dialogues sessions from Google I/O 2025 → https://goo.gle/io25-dialogues
Check out all of the sessions from Google I/O 2025→ https://goo.gle/io25-sessions-yt
Subscribe to Google for Developers → https://goo.gle/developers
Event: Google I/O 2025
Products Mentioned: AI/Machine Learning Read More Google for Developers
