AI, Energy, and Climate

The use of Artificial Intelligence enables both opportunities and risks for the energy system and for broader climate mitigation and climate resilience efforts. Our research helps inform decision-makers how AI data centers and broader AI use across the economy affect energy systems, climate change, resilience, and innovation. Our outputs enable policymakers to better protect the public, advance innovation and national security, maximize benefits, and minimize risks. Prof. Samaras serves on the National Academies’ Roundtable on Artificial Intelligence and Climate Change, and he designed and taught a new course, “AI Engineering and Policy for Climate Mitigation and Resilience”, which is the first course at Carnegie Mellon focused on the intersection of AI and climate change.

Selected Research Outputs