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Generative AI and Climate Action: Two Sides of the Same Coin

JUNE 22, 2026 — AUGUST 13, 2026
CEE176K

Details:

Time: No Topic - No Type
Units: 2
Class Number: 11547
Interest Area: Social Sciences and Humanities
Population: Undergraduate, Graduate
Interest Area: Social Sciences and Humanities
Course Format & Length: In Person, 8 Weeks
Pre-requisites:

Pre-requisites

We expect visiting students to have knowledge that is equivalent to the listed Stanford pre-requisite course.

Coding experience is helpful but not necessary. High school chemistry and Calculus I are recommended.
Cross Listing: -
Grading Basis: Satisfactory/No Credit

Description:

Generative AI shows tremendous potential to address climate change impacts. Yet, the data centers required to support AI can pose a threat to our environment. This raises the question: How do we utilize the effectiveness of generative AI without doing more harm than good? This course will provide a high-level overview of the potentials and pitfalls of generative AI for meaningful climate action. Guest speakers from Silicon Valley working in sustainability and computing will be invited to share insights into interdisciplinary challenges, emerging opportunities, and career pathways. Topics will include AI-driven tools for decarbonization, responsible AI development, and energy-efficient data center expansion. The course may also include a field trip to Stanford's Central Energy Facility to explore how these topics are applied within large-scale energy systems.

Course notes:

The course is open to students from all backgrounds. No prior computer science or generative AI experience is needed.

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