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Researcher with public evidence across AI research, Policy & governance, Responsible AI.
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…
I do think the water thing with AI gets overplayed compared to the technology's other environmental and social harms, but AI boosters like to pretend it's entirely invented. The potable water industry in the UK - no tree huggers here - makes it clear than no, this is a very re…
arXiv Is Rate Limiting Submissions Because It Can’t Keep up With AI Slop www.404media.co/arxiv-is-rat...
LLMs including AI agents are killing forums. This is deeply sad. I learned many coding tricks on Stack Overflow. www.ft.com/content/cec8...
Policymakers treat critical infrastructure as physical: power grids, communications networks, transportation systems, and satellites. In the age of generative AI, writes Rachel A. George, another kind deserves equal attention: the institutions that determine what governments b…
Dr Valdivia highlights that alternatives such as chip-level cooling and renewable energy remain at an early stage, while many governments still lack specific legal frameworks to regulate the industry. www.cell.com/cell-reports...
“We’d do better to take advice on the real benefits and risks of AI (...) from thoughtful commentators like Mitchell, Devlin, (...) Emily Bender (...), and (...) Shannon Vallor and Timnit Gebru. (If you notice something striking about that latter list, I don’t think it’s a coi…
You have an opportunity to watch "Ghost in the Machine" in Oxford (UK). Tuesday 20 October, 2026 at 6pm. uppcinema.com/show/if-oxfo...
There is also worrisome evidence that Effective Altruism's pivot from a core focus on "distributing bed nets to help poor people survive malaria" to a core focus on "funding think-tanks dedicated to worrying about if AI will kill us all" might have been a planned bait-and-swit…
> knowledge is utilized to claim superiority, more so than to grow collective understanding. This is the epistemology encoded into AI. Dias, B. (2026). Interrogating Artificial Intelligence Through a Lens of Being. Equity & Excellence in Education, 1–15. h/t @sven.blacksky.app
🚨 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...
🌱 "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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