Summary:
AI can be a powerful tool in helping society reduce greenhouse gas emissions and adapt to a changing climate, from optimizing electrical grids to monitoring land cover and crop yield. In this presentation, we will explore opportunities and challenges in AI-for-climate, as well as policy levers by which governments can facilitate such work. We will also consider ways that AI is contributing to climate change, and how to better align the use of AI overall with climate goals.
Presenter:
David Rolnick is an Assistant Professor and Canada CIFAR AI Chair in the School of Computer Science at McGill University and at Mila Quebec AI Institute, where his work focuses on applications of machine learning to help address climate change. He is a Co-founder and Chair of Climate Change AI and Scientific Co-director of Sustainability in the Digital Age. Dr. Rolnick received his Ph.D. in Applied Mathematics from MIT. He is a former NSF Mathematical Sciences Postdoctoral Research Fellow, NSF Graduate Research Fellow, and Fulbright Scholar, and was named to the MIT Technology Review's 2021 list of "35 Innovators Under 35."
Speaker
David Rolnick
Assistant Professor and Canada CIFAR AI Chair in the School of Computer Science at McGill University