How Artificial Intelligence could help mitigate climate change
Channel: Heinrich-Böll-Stiftung European Union
Date: 03/12/2020

The debate over “AI for Good” often leads to a stand-off between those who see machine learning as a panacea for solving the world’s most urgent problems and those who warn that a blind “technosolutionism” could create new environmental and societal risks. On 3 December 2020 we organised a virtual briefing with researchers from Climate Change AI (CCAI) on the role machine learning can play in facilitating climate change mitigation and adaptation strategies. CCAI is a group of volunteers from academia and industry who believe that tackling climate change requires concerted societal action, in which machine learning can play an impactful role. 

Zora Siebert, Head of EU Policy Programme at Heinrich-Böll-Stiftung European Union, moderated a discussion with:
- Lynn H. Kaack, Postdoctoral Researcher and lecturer with the Energy Politics Group, ETH Zürich, and Co-founder and Chair, Climate Change AI
- Priya L. Donti, Ph.D. Student, Carnegie Mellon University, and Co-founder and Chair, Climate Change AI
- David Rolnick, Assistant Professor in the School of Computer Science at McGill University and at Mila - Quebec AI Institute, and Co-founder and Chair, Climate Change AI
Moderation: 

Read the E-paper "Artificial Intelligence and Climate Change: Opportunities, considerations, and policy levers to align AI with climate change goals" on our website: https://eu.boell.org/en/2020/12/03/artificial-intelligence-and-climate-change