03: Cutting through the Hype of AI for Climate Action episode artwork

EPISODE · Dec 2, 2024 · 59 MIN

03: Cutting through the Hype of AI for Climate Action

from Code Green · host Digital Futures Lab and Earth Venture Foundation

Leaders at COP29 in Baku endorsed a declaration to use digital technologies and AI to address climate action, while also acknowledging the need to minimise its environmental impacts. How do we find this balance? Is it achievable at all? What new narratives and policy directions are needed? What does it mean for countries in Asia that are already grappling with the environmental impacts of rapid industrialisation? In this episode, Cindy Lin and Sherif Elsayed-Ali critique AI's scalability and environmental costs while urging interdisciplinary approaches to ensure meaningful impact. They advocate for realistic narratives, collective restraint, and context-specific innovations, highlighting the need to distinguish hype from scientifically proven use cases to achieve sustainable advancements.You can read the transcript for this episode ⁠here. SpeakersCindy LinCindy is an Assistant Professor at the School of Interactive Computing at Georgia Tech. An ethnographer and information scientist, her work centers on the data practices, exchanges, and expertise of climate change and their relationship to race and environmental governance in Indonesia and the United States. Prior to her professorship at Georgia Tech, she was assistant professor at the College of Information Sciences and Technology at the Pennsylvania State University. She was also a visiting postdoctoral fellow at Cornell Tech's Digital Life Initiative as well as a postdoctoral fellow at Cornell Atkinson Centre for Sustainability and Cornell's Department of Information Science. Sherif Elsayed-AliSherif is Executive Director of the Future of Technology Institute, where he brings unique expertise at the intersection of technology policy, entrepreneurship and human rights. He previously co-founded and served as CEO of Carbon Re, a joint spin-out of Cambridge University and UCL using machine learning to accelerate the decarbonization of foundational materials such as cement. Prior to this, he set up and led the AI for Climate practice at Canadian scale-up Element AI and was co-founder of Amnesty Tech. He was a World Economic Forum Global Future Council co-chair and a fellow at Harvard Kennedy School, both focusing on the intersection of technology and human rights. Show NotesConference of Parties 29 (COP29)COP29 Declaration on Green Digital ActionSchool of Interactive Computing, Georgia TechFuture of Tech InstituteCarbon ReAmnesty TechYale Program on Climate Change Communication - Climate Change in the Indonesian MindComputing Net ZeroPost-growth Human Computer InteractionDigital EnergeticsThis podcast series is accompanied by a monthly newsletter - sign up for updates ⁠here⁠⁠.For more about this project, visit our website ⁠⁠codegreen.asiaCreditsAudio Editing: Creator Studio Goa by Winfluence Media Production Support: Shivranjana Rathore Cover Design: Nayantara SurendranathAttributionsIntro and Outro: ⁠⁠Retro Sounds⁠⁠, ⁠⁠Alban_Gogh⁠⁠Transitions - ⁠⁠Meditative Background Music⁠⁠, ⁠⁠white_records⁠

Episode metadata supplied by the publisher feed · Published Dec 2, 2024

Embed this episode

NOW PLAYING

03: Cutting through the Hype of AI for Climate Action

0:00 59:52

No transcript for this episode yet

We transcribe on demand. Request one and we'll notify you when it's ready — usually under 10 minutes.

No similar episodes found.

No similar podcasts found.

Frequently Asked Questions

How long is this episode of Code Green?

This episode is 59 minutes long.

When was this Code Green episode published?

This episode was published on December 2, 2024.

Can I download this Code Green episode?

Yes. Use the download control on the episode player to save the publisher-provided media file.
URL copied to clipboard!