Inspired by the US Environmental Protection Agency’s Energy Star ratings, our project establishes a global energy efficiency standard for AI. This initiative empowers the AI community—developers, enterprises, and users—to prioritize environmental responsibility while developing and deploying AI systems. We have already launched a pilot open-source leaderboard and benchmarking platform, accessible to all AI model developers, including closed-source companies. Our collaboration spans industry (Cohere, Meta, Salesforce) and academia (Carnegie Mellon University), bringing together foremost experts on this topic. If widely adopted, this standard could significantly reduce AI's impacts while sparking innovation in efficient architectures. Acceptance to this summit would elevate our vision, providing a global platform to drive adoption of this standard, accelerating the sustainability of AI.
Hugging Face is the AI community building the future. It’s the platform where the machine learning community collaborates on models, datasets, and applications to advance open research and responsible AI. As a leader in AI sustainability, Hugging Face empowers developers and enterprises to create more transparent and efficient models that drive positive impact worldwide.