AI & Environment Resource HubBezos Earth Fund · 2024-10-01
This recorded livestream includes sessions from leaders within city government, academia, and frontline organizations on addressing climate and nature issues using modern AI.
Bezos Earth Fund. 2024-10-01. AI for Climate and Nature Spring Convening. https://www.youtube.com/playlist?list=PLLV4_hKDEEx8At6bpsll7Mw8VZ3gvxWUs (AI & Environment Resource Hub; record video-097; collection snapshot 2026-09-15).
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Shared topics: Cross-cutting sustainability; Governance and society; Climate and greenhouse gases; Biodiversity and ecosystems
AI and ML optimize optoelectronic systems for sustainability by enhancing energy efficiency, renewable energy harvesting, environmental monitoring, and smart cities while also advancing ocean optics and photonics for marine ecosystem monitoring and climate change mitigation.
Shared topics: Cross-cutting sustainability; Governance and society; Climate and greenhouse gases; Biodiversity and ecosystems
Learn how to apply artificial intelligence, remote sensing, and spatial intelligence to solve real-world environmental challenges.
Shared topics: Cross-cutting sustainability; Governance and society; Climate and greenhouse gases; Biodiversity and ecosystems
Tomorrow at hashtag#UNEA-7 OECPR, we are bringing together standards bodies, scientific data networks and governments to discuss a topic that sits at the core of UNEP’s digital work: how data interoperability and aligned standards can build a trusted, inclusive and accessible environmental data ecosystem — and enable sustainable, responsible AI for the environment. This discussion builds on the Global Environmental Data Strategy (GEDS) and our broader efforts to ensure digital transformation supports climate, nature, and pollution action.
Shared topics: Cross-cutting sustainability; Governance and society; Climate and greenhouse gases; Biodiversity and ecosystems
Amy Luers explores how artificial intelligence can drive the rapid and large-scale transformation needed to combat climate change and biodiversity loss, highlighting AI's role in reducing emissions, expanding renewable energy, minimizing waste, and protecting nature while emphasizing the importance of responsible AI development.