AI Solutions for Climate Action and Insights from COP28
Sci-Tech Suisse & Life Style · 2024-03-09
In this episode we are discussing about climate change solutions, the impact that technology has involving green finance with Bjorn-Soren Gigler PhD, renowned Head of Data Economy, Digital and Green Twin Transition.
Sci-Tech Suisse & Life Style. 2024-03-09. AI Solutions for Climate Action and Insights from COP28. https://www.youtube.com/watch?v=SsLg1eW13SI (AI & Environment Resource Hub; record video-014; collection snapshot 2026-09-15).
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We are happy to share this strategic report–AI and Climate Change: The Global South Facing the New Geopolitics of Innovation–written by Lori Regattieri and jointly launched by CIPÓ and the Green Screen Coalition. The report articulates key connections between energy infrastructures, climate justice and purported AI solutions for the “energy transition”. Their work argues for multilateral, pluriversal, and multisectoral approaches to digital infrastructure and industrial policy. The report names the violence of the “logic of expansion” and the fallacies of transition, which “simultaneously drives energy regimes and artificial intelligence systems”. Lori’s critique on the entanglement of many different social and political issues in Brazil is critical in a time where the technology industry lays the groundwork to be the saviors of COP30 in Belem, Brazil. With COP less than two months away, the report provides a powerful framing for those curious about the industrial dynamics in the region, and the ontological logic underpinning them.
Green Screen Coalition
Shared topics: Governance and society; Climate and greenhouse gases; Weather, hazards, and adaptation
A comprehensive evaluation of machine learning regression models enhances the precision of GHG emission predictions, comparing traditional and advanced algorithms while integrating feature selection techniques like LIME to improve model interpretability and inform environmental policy.
SpringerNature
Shared topics: Governance and society; Climate and greenhouse gases; Weather, hazards, and adaptation
The net climate impacts of artificial intelligence (AI) depend largely on how its applications propagate through competing energy pathways. Absent policy steering, AI's modeled effects increase the carbon intensity of the global economy and reinforce fossil fuel incumbency—outcomes that current analytical and governance frameworks do not fully capture.
