The Green Digital Action (GDA) initiative, led by the International Telecommunication Union (ITU) and partners, aims to measure and reduce the environmental impact of AI. Through a three-phase project, it will develop standardized metrics for AI’s energy consumption, water usage, and carbon emissions, fostering sustainable…
Discover a selection of scientific articles on sustainable AI published by our members. This page brings together publications essential to understanding advances, challenges and best practices in the design, use and environmental impact of artificial intelligence.
These events not only foster creativity and technical excellence but also drive meaningful impact by promoting solutions that align with sustainability goals. Participants and enthusiasts alike are increasingly recognizing the potential of AI to build a more resilient and eco-friendly future.
In the months leading up to the AI Action Summit, a wide range of stakeholders are consulted to elaborate collaboratively a position paper on the current key challenges to foster environmental performance and reduce the environmental impact of AI. The goal is to align internationally…
AI has the potential to tackle critical climate challenges, but its growing energy demands pose significant environmental concerns. The Frugal AI Challenge seeks to promote energy-efficient AI models, proving that impactful solutions can also be sustainable.
AI has a huge potential in helping to reach climate commitments and have great impact on sustainability of societies. In combination with the mitigation of the negative impacts of AI, this might enable enormous progress in working towards the ecological and digital transition.
The International Energy Agency (IEA), in consultation with industry and key scientific stakeholders, has launched the first global observatory dedicated to energy and Artificial Intelligence, providing a global vision of AI-related energy needs and AI opportunities for the energy sector.
AI is a source of promise to contribute to the objectives of ecological transition. Because public decision-makers and companies must be able to draw on scientific advances to build their strategy around sustainable AI, the international association “Climate Change AI” is listing, on the occasion…
A first exploratory workshop on “Access to environmental knowledge through generative AI” addressed the challenges of transforming unstructured environmental documentation into accessible, structured knowledge for feeding Generative AI agents while tackling ethical and technical concerns, such as biases and inconsistencies. Follow-up discussions will help further…
The objective of this roadmap is to ensure efficient use of resources, reduce confusion, promote consistency in the measurement of the environmental impact of Artificial Intelligence (AI), and facilitate the widespread adoption of best practices in that regard. Contributors wish to work towards non-conflictual standards…
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