Measuring AI's emissions in your carbon footprint

AI-related electricity demand is growing roughly 15% per year, and sustainability teams need to account for it in their carbon footprints—but no standard methodology has existed. On July 28, Dr. John Bistline, Head of Science at Watershed, will introduce a new open methodology for measuring corporate AI emissions, developed with leading academics and AI researchers.

Attendees will learn:

• How to estimate AI emissions using a tiered approach that works with whatever data you have today
• Why published AI emissions estimates can differ by orders of magnitude—and what drives the gap
• Practical levers for reducing AI emissions, from model selection to region choice
• What AI providers need to disclose for more accurate corporate reporting

If you can't attend live, register to receive the recording.