Presentation of a study Thursday, 03. December 2020

How Artificial Intelligence could help mitigate climate change

Virtual briefing & E-Paper presentation. 16:00 CET / 10:00 a.m. EST

AI&Climate Change. Creator: Zbynek Burival. Public Domain.
Date, Time
Thu, 03. Dec 2020,
4:00 pm – 5:00 pm Save in my calendar
➽ Online Event

Watch the recording of this event here.

Join us for 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. Since it was founded in June 2019, CCAI has led the creation of a global movement in climate change and machine learning, encompassing researchers, engineers, entrepreneurs, investors, policymakers, companies, and NGOs.

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.

Our guests from Climate Change AI strive to present a realistic assessment of the potentials and risks of such technologies from a machine learning perspective. They will give an overview over the most promising AI applications within a variety of sectors, such as energy, manufacturing, agriculture, forestry, and disaster management. They will also discuss ways in which AI can be detrimental to efforts addressing climate change. Their presentation will serve as the basis to engage in an open exchange on how policy-making – from research to regulation – can help align the use of AI goals of sustainability and climate justice.


16:00-16:05 Brussels / 10:00-10:05 am D.C. Introduction

16:05-16:30 Brussels / 10:05-10:30 am D.C. Presentation by:

  • 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: Zora Siebert, Head of EU Policy Programme Heinrich-Böll-Stiftung European Union

16:30-17:00 Brussels / 10:30-11:00 am D.C. Q&A with the audience

Working language: English

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