Thursday 12 September 2024 I 15:00-16:30 CEST I 9:00-10:30 AM ET
[ AI ] [[https://itcc.ieee.org/event/factoring-sustainability-in-building-ai-systems/?utm_source=mkto&utm_medium=Email&utm_campaign=ITCC+News+%234]]
Organized as part of the IEEE Technology Center for Climate’s series on “AI and Sustainability,” this webinar will explore how sustainability considerations can be embedded in the design of AI systems.
Thursday 14 November 2024 I 15:00-16:30 CEST I 9:00-10:30 AM ET
[ AI ] [[https://itcc.ieee.org/event/ai-risks-and-opportunities-for-biodiversity/?utm_source=mkto&utm_medium=Email&utm_campaign=ITCC+News+%234]]
The third webinar in the IEEE Technology Center for Climate’s series on “AI and Sustainability” will explore the relationship between AI and biodiversity through use cases illustrating promises and risks.
IEEE Planet Positive 2030 - Strong Sustainability by Design
[ AI ] [[https://itcc.ieee.org/?utm_source=mkto&utm_medium=Email&utm_campaign=ITCC+News+%234]]
IEEE Planet Positive 2030, an initiative supported by the IEEE Standards Association, has published a draft report “Strong Sustainability by Design: Prioritizing ecosystem and human flourishing with technology-based solutions.” You are invited to take a look at this groundbreaking compendium. The final compendium, version 1, is expected to be published later this year. It will incorporate the feedback received from the Planet Positive community of experts and the public and will help chart a sustainable path for all people and planetary ecosystems to achieve a flourishing future for 2030 and beyond.
Our survey on the Tools and Methodologies for Climate-Related Assessment and Reporting provides insights into the tools and measures needed to effectively report on the impact of technology on climate. Check the survey on the Technology and environmental assessment theme page.
What are the Building Blocks of Sustainable AI, from Design to Deployment? This webinar, in collaboration with the Global Partnership on Artificial Intelligence’s (GPAI) RAISE project and supported by CEIMIA, with speakers from IEEE, Hewlett Packard Enterprise, OECD, McGill University and GPAI, explored AI systems as enabling technologies that can offer solutions for climate-related challenges while also considering their own carbon footprint.
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