https://www.foodandwaterwatch.org/wp-content/uploads/2025/12/National-Data-Center-Moratorium.pdf
16 de des. 2025
20 de nov. 2025
18 de nov. 2025
La maldición del cobalto
Extracto del libro ‘Cobalto rojo’, del escritor y activista Siddharth Kara, publicado por Capitán Swing. Revela los abusos contra los derechos humanos en la República Democrática del Congo tras la explotación del cobalto, un mineral clave para los aparatos tecnológicos que usamos a diario.
14 de nov. 2025
13 de nov. 2025
12 de nov. 2025
4 de nov. 2025
https://cartography-of-generative-ai.net/
https://cartography-of-generative-ai.net/
The popularisation of artificial intelligence (AI) has given rise to imaginaries that invite alienation and mystification. At a time when these technologies seem to be consolidating, it is pertinent to map their connections with human activities and more than human territories. What set of extractions, agencies and resources allow us to converse online with a text-generating tool or to obtain images in a matter of seconds?
31 d’oct. 2025
French court convicts TotalEnergies of greenwashing over climate claims
Oil company TotalEnergies misled consumers when it claimed it would become carbon neutral by 2050 while still expanding oil and gas production, a French court has ruled. The firm must remove references to carbon neutrality from its website, post the ruling on its site and pay reparations to the environmental campaign groups that brought what could be a precedent-setting case. "This is the first time anywhere in the world that a major oil and gas company has been convicted by the courts for misleading the public by greenwashing its image regarding its contribution to the fight against climate change,” said Greenpeace, one of the plaintiffs, in a statement.
7 d’oct. 2025
3 d’oct. 2025
21 de set. 2025
Digital4Sustainability Learning Path
The "Digital4Sustainability Learning Path" explores the transformational role digital solutions and innovations can play in advancing environmental and social sustainability. In particular, how can digital technologies power the green transition, and how can the digital transition be green?
FREE Sustainability courses from the United Nations.
1. The SDG Primer: https://lnkd.in/e4WU7gFH
2. Circular Economy and the 2030 Agenda: https://lnkd.in/eVdq92ZV3. Digital Sustainability Learning Path: https://lnkd.in/e-A9mMDk
4. Thai SDG Micro-Primer: https://lnkd.in/ebZjmdDR
5. Applying Integrated Policy Approaches to Accelerate the 2030 Agenda: https://lnkd.in/esTSQVrx
6. Green Marketing Challenge: https://lnkd.in/eWByut-N
7. Thought Leadership Course - Synergizing Disaster Risk Reduction and Climate Change Adaptation: https://lnkd.in/e4Tjz5kK
8. The Youth, Peace and Security Primer: https://lnkd.in/esQKcDD4
9. Children and Armed Conflict Primer: https://lnkd.in/eG-xRdt6
10. Nelson Mandela: Life, Legacy and Leadership: https://lnkd.in/eW3rsFkW
You can also learn more about UNSSC's free online courses at https://lnkd.in/e3Yt5nmG
15 de set. 2025
9 de set. 2025
Toward Sustainable HPC: Carbon Footprint Estimation and Environmental Implications of HPC Systems
Abstract:
The rapid growth in demand for HPC systems has led to a rise in carbon footprint, which requires urgent intervention. In this work, we present a comprehensive analysis of the carbon footprint of high-performance computing (HPC) systems, considering the carbon footprint during both the hardware manufacturing and system operational stages. Our work employs HPC hardware component carbon footprint modeling, regional carbon intensity analysis, and experimental characterization of the system life cycle to highlight the importance of quantifying the carbon footprint of HPC systems.
1 de set. 2025
Inside the AI race: can data centres ever truly be green?
Inside the AI race: can data centres ever truly be green?
From the deserts of the United Arab Emirates to the outskirts of Ireland’s capital, the energy demands of AI applications and training running through these centres are driving the surge of investment into fossil fuels. This threatens to subvert global efforts to cut greenhouse gas emissions, which are the main driver of climate change. To limit rising temperatures, global emissions must fall by about half by 2030. Tech companies point to their record as big investors in clean energy in an effort to deal with their emissions, but much of this is backed by green power credits. This is a controversial form of investing in the build-out of clean energy because it is far from guaranteed to compensate for actual energy consumption.
13 d’ag. 2025
'Responsabilitat dels Estats en Relació al Canvi Climàtic'
We seek accountability, a recognition of rights for those most affected by the climate crisis, and real protection from historical polluters.
We believe in fundamental human rights, in the dignity and worth of the human person, in the equal rights of all women and all men, and of all nations, large and small.
After 6 years of campaigning, the International Court of Justice has released the Climate Advisory Opinion on July 23, 2025.
This Advisory Opinion shifts the course of climate justice by using existing international law to hold polluters accountable, and refine their legal duties to:
protect people and the planet, always.
UK Asks People to Delete Emails In Order to Save Water During Drought
22 de jul. 2025
Apple and miner MP Materials are joining forces in a $500 million deal to develop a rare earth magnets recycling facility
Apple and miner MP Materials are joining forces in a $500 million deal to develop a rare earth magnets recycling facility.- The agreement is part of Apple’s $500 billion pledge to onshore production.
- Rare earth magnets are key components used in consumer electronics, cars and renewable energy systems.
30 de juny 2025
8 de juny 2025
4 de juny 2025
24 d’abr. 2025
Light bulbs have energy ratings — so why can’t AI chatbots?
https://www.nature.com/articles/d41586-024-02680-3
The recommendations
To achieve meaningful progress, it is essential that all stakeholders take proactive steps to ensure the sustainable growth of AI. The following recommendations provide some specific guidance to the variety of players involved.
Get developers involved. AI researchers and developers are at the core of innovation in this field. By considering sustainability throughout the development and deployment cycle, they can significantly reduce AI’s environmental impact from the outset. To make it standard practice to measure and publicly share the energy use of models (for example, in a ‘model card’ setting out information such as training data, evaluations of performance and metadata), it’s essential to get developers on board.
Drive the market towards sustainability. Enterprises and product developers play a crucial part in the deployment and commercial use of AI technologies. Whether creating a standalone product, enhancing existing software or adopting AI for internal business processes, these groups are often key decision makers in the AI value chain. By demanding energy-efficient models and setting procurement standards, they can drive the market towards sustainable solutions. For instance, they could set baseline expectations (such as requiring that models achieve at least two stars according to the AI Energy Star scheme) or support sustainable-AI legislation.
Disclose energy consumption. AI users are on the front lines, interacting with AI products in various applications. A preference for energy-efficient solutions could send a powerful market signal, encouraging developers and enterprises to prioritize sustainability. Users can nudge the industry in the right direction by opting for models that publicly disclose energy consumption. They can also use AI products more conscientiously, avoiding wasteful and unnecessary use.
Strengthen regulation and governance. Policymakers have the authority to treat sustainability as a mandatory criterion in AI development and deployment. With recent examples of legislation calling for AI impact transparency in the European Union and the United States, policymakers are already moving towards greater accountability. This can initially be voluntary, but eventually governments could regulate AI system deployment on the basis of the efficiency of the underlying models.
Regulators can adopt a bird’s-eye view, and their input will be crucial for creating global standards. It might also be important to establish independent authorities to track changes in AI energy consumption over time.
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