This session will dive into a topic of universal interest and critical importance: the environmental sustainability performance of artificial intelligence (AI), analyzed through a life cycle assessment lens. Panelists will cover the current state of AI impacts as well as projections for the near-to-medium term.
Learning outcomes::
- Learn what the energy and water footprints of different categories of AI currently look like, and how they are likely to change in the future
- See how the sustainability performance of Generative AI in particular compares to that of other categories of AI and other commonly used digital technologies
- Understand what companies and individuals can do to minimize negative environmental impacts of AI applications and participate in collective solutions
Video
Assessing energy and water requirements to power AI at scale
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