Since March, the Coalition coordination team (France, ITU, UNEP) has been working on the mapping of all the international and collaborative initiatives on sustainable AI. This mapping is a valuable tool in promoting a greener AI internationally, aligning it with global environmental objectives and accelerating the ecological transition. It makes sure that we do not duplicate efforts. As we reached 200 members, including companies, start-ups, investors and research centres, we received several contributions to the consultation, as well as almost the same number of initiatives.
For the next steps of our international action, we are gathering expressions of interest to participate in different workstreams that have been preliminarly identified from the results of the consultation. The results of those workstreams could be presented at future key international events (AI summits, COP, etc.).
This call is open until September 30th, 2025.
Roadmap of Standardization for AI environmental sustainability
Context At the AI Action Summit in Paris, experts from ISO, IEEE, and ITU, in collaboration with UNESCO and the OECD, met in a working group to take stock of the various standards already published and currently being developed in the field of environmental sustainability of AI. This working group also established some common principles for the development of future standards. Updating this roadmap will therefore ensure consistency over time between the various sustainable AI standards currently being developed.
Implementation This updating-process could take place through the organization of two working group meetings, integrating potential new stakeholders from international organizations, NGOs, and companies.
Public Procurement Toolkit for Sustainable AI Systems
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Implementation
AI Pilots Showcase
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Implementation
Guidelines to combine environmental transparency with trade sensitivity
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Implementation
Data challenges and Hackathons
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Implementation
Foresight into the environmental challenges of Agentic AI
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Implementation
Open Library of Compressed AI models
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Implementation
Depending on the number of organizations interested, we will come back to respondents if the workstream is confirmed.
