Initiatives Hub

key challenges for performance

Key challenges for environmental performance of AI

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…
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frugal-ai-challenge

Frugal AI challenge

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.
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inventory of use cases

Inventory of use cases

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.
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iea observatory

IEA Observatory on Energy and AI

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.
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working group

Access to environmental knowledge through Gen AI

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…
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roadmap of standardization

Global approach of standardization for AI environmental sustainability

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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