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Exploring the new international standard on the environmental footprint of AI systems

AI for Good16 June 2026Watch on YouTube

What you'll learn

  • ITU-T L.1801 is the first international standard for measuring the environmental footprint of AI systems with a harmonized methodology.
  • The standard provides a framework to assess environmental impacts across the full lifecycle of AI, from development and training to deployment and end-of-life.
  • Organizations can perform transparent and comparable environmental assessments of AI systems, accounting for both direct and indirect effects.
  • Early implementation of the standard is encouraged to test real-world cases and build the first global evidence base for sustainable AI deployment.

Frequently asked questions

What is ITU-T L.1801 and why is it important?
ITU-T L.1801 is the first international standard for assessing the environmental footprint of AI systems. It provides a harmonized methodology that enables organizations to perform transparent, comparable, and robust environmental assessments across the full lifecycle of AI.
Which phases of an AI system are assessed in the standard?
The standard assesses environmental impacts across all phases of the lifecycle, including development, training, deployment, and end-of-life. Both direct and indirect effects are included in this evaluation.
How can organizations apply the standard in practice?
Organizations can use the standard to perform transparent environmental assessments of their AI systems. The webinar emphasizes the importance of early implementation and testing the standard in real-world use cases.
What role do direct and indirect effects play in the assessment?
The standard accounts for both direct effects (such as energy for training and deployment) and indirect effects (such as hardware production and network infrastructure) of AI systems.

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Description from the channel

As artificial intelligence continues to scale across sectors, understanding its environmental footprint is becoming essential. This webinar introduces a new international standard on assessing the environmental impact of AI systems (ITU‑T L.1801, also known as an ITU‑T Recommendation)—the first of its kind to provide a comprehensive and harmonized methodology. The session offers a deep dive into the standard, exploring how it enables organizations to assess the environmental impacts of AI across its full lifecycle—from development and training to deployment and end-of-life—while accounting for both direct and indirect effects. Through practical explanations and real-world perspectives, participants will learn how the standard can be applied to support transparent, comparable, and robust environmental assessments of AI systems. The webinar will also highlight the importance of early implementation, encouraging stakeholders to adopt and test the standard in real use cases, contribute to its evolution, and help build the first global evidence base for sustainable and responsible AI deployment. Speakers: Susanna Kallio Head of Sustainability Standardization, Nokia Jean-Manuel Canet Senior Manager, Climate Biodiversity, Orange AI for Good is identifying innovative AI applications, building skills and standards, and advancing partnerships to solve global challenges. AI for Good is organized by ITU in partnership with over 50 UN partners and co-convened with the Government of Switzerland. Join the Neural Network! 👉https://aiforgood.itu.int/neural-network/ The AI for Good networking community platform powered by AI. Designed to help users build connections with innovators and experts, link innovative ideas with social impact opportunities, and bring the community together to solve global challenges using AI. 🔴 Watch the latest #AIforGood videos! https://www.youtube.com/c/AIforGood/videos 📩 Stay updated and join our weekly AI for Good newsletter: http://eepurl.com/gI2kJ5 🗞Check out the latest AI for Good news: https://aiforgood.itu.int/newsroom/ 📱Explore the AI for Good blog: https://aiforgood.itu.int/ai-for-good-blog/ 🌎 Connect on our social media: Website: https://aiforgood.itu.int/ X: https://twitter.com/AIforGood LinkedIn Page: https://www.linkedin.com/company/26511907 LinkedIn Group: https://www.linkedin.com/groups/8567748 Instagram: https://www.instagram.com/aiforgood Facebook: https://www.facebook.com/AIforGood Disclaimer: The views and opinions expressed are those of the panelists and do not reflect the official policy of the ITU.