Accelerating Climate Science with AI | Ban Ki-moon, IPCC, MILA & Oxford Uni | AI FOR GOOD DISCOVERY

Climate change is one of the most pressing global challenges, with human emissions now unanimously accepted as the key driver. However, significant scientific uncertainties remain regarding the Earth’s climate sensitivity, which directly translate into uncertainties in the remaining carbon budget on the path to achieving the targets of the Paris Agreement. Current advances in climate science are hindered by the limitations of the methodologies commonly used for scientific data analysis, some of them ill-equipped for capturing complex relationships present in the huge volumes of data now available. At the same time, the field of machine learning has seen a series of dramatic breakthroughs over the past decade, driven by the development of new data-intensive algorithms.

This kick-off event sets the stage for a series of expert talks over the following months which will bring together leading voices from academia, industry and policy to provide a forum to ensure climate science is able to capitalise on the latest advances in AI and machine learning for the benefit of humanity. The outcome will be a whitepaper proposing ways forward.

⏱Shownotes:
00:00 Introduction
05:21 Introduction by Philip Stier
05:28 Climate Science
05:47 AI and ML
06:21 Accelerating Climate Science with AI
07:16 Programme
08:15 Introduction by Mr. Houlin Zhao
16:16 Introduction by Mr.Ban Ki-Moon
35:45 Houlin Zhao summary
38:12 Mr. Ban Ki-Moon, there is no time to lose.
42:17 How to translate the crisis into specific actions
46:16 Introduction by Valerie Masson-Delmotte
52:48 Land management
54:35 Ocean and Cryosphere
1:00:31 IPCC report
1:03:35 Introduction from Philip Stier to Mr. Bengio
1:04:40 Introduction by Mr. Yoshua Bengio
1:04:50 AI and fighting climate change
1:05:21 Environmental Application of AI
1:06:23 Climate change + AI (CCAI)
1:07:47 Golbal Partnership on AI Climate and Biodiversity Committee
1:08:43 Synthesizing new material for batteries in carbon
1:09:26 Learning to explore the space of material
1:10:36 Physics-Constrained ML Models for Climate or Material
1:12:02 Why insufficient action? psychological factors?
1:13:21 This Climate Does not Exist
1:14:01 The Climate Change Visualization Project
1:15:01 Bring Future Societal Impact into Prices Today
1:16:59 Bring the Future Prices Today with Retroactive Carbon Pricing
1:19:52 Bring future societal impact into prices today
1:22:31 Which areas do you think we can contribute the most?
1:23:12 What kind of AI exists for the plastic problem in the ocean?
1:24:56 Girls and women in AI
1:27:07 Education
1:30:21 Closing remarks by ITU.

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What is AI for Good?
The AI for Good series is the leading action-oriented, global & inclusive United Nations platform on AI. The Summit is organized all year, always online, in Geneva by the ITU with XPRIZE Foundation in partnership with over 35 sister United Nations agencies, Switzerland and ACM. The goal is to identify practical applications of AI and scale those solutions for global impact.

Disclaimer:
The views and opinions expressed are those of the panelists and do not reflect the official policy of the ITU.

#AIforGoodDiscovery #AIforClimateScience