This study is particularly relevant for those who believe that AI for sustainability will mitigate climate change. It will not: "Parallel adoption of AI across fossil fuel and renewable energy pathways increases net global annual emissions by 0.47–1.8 Gt CO₂." www.nature.com/a…
ana valdivia
Researcher with public evidence across AI research, Policy & governance, Responsible AI.
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LLMs including AI agents are killing forums. This is deeply sad. I learned many coding tricks on Stack Overflow. www.ft.com/content/cec8...
🚨 Excellent opportunity for grassroot organisations: The €2 million Building Narrative Power funding and learning programme offers grants of up to €150,000 to develop and test narrative strategies around three areas: data centres, jobs and young people’s lives europeanaifund.o…
With colleagues at the ENS and AI&Society Institute, we have published a policy brief "Beyond the Energy Efficiency Directive: Toward Sustainable AI Regulation An analysis of the environmental footprint of AI". www.ens.psl.eu/sites/defaul...
🚨New publication out now in the Oxford Research Encyclopedia of Science, Technology & Society with @ibalilebali.bsky.social: "The Technopolitics of Data Centers in the Age of AI: Concepts, Methodologies, and Challenges" 👉 Link: academic.oup.com/edited-volum...
Recent commentary
🌱 "The Ecologies of Algorithmic Machines" is almost ready. This book draws on over three years of research into the supply chains of AI, offering a historical analysis of its materiality and environmental-making regimes while challenging the dichotomy between nature and algorithmic machines.
🌻 For my upcoming book, The Ecologies of Algorithmic Machines, I created a diagram that illustrates the different phases (and corresponding chapters) exploring the materiality of AI. Please feel free to share and cite it if you find it useful. I'd also welcome feedback to improve the diagram.
The AI industry is living beyond its means.
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