Sasha Luccioni
TL;DR Sasha Luccioni is a leading researcher at the intersection of artificial intelligence and climate action, dedicated to making AI more sustainable and environmentally responsible.
Sasha Luccioni by Sora
Sasha Luccioni is a prominent artificial intelligence researcher focused on the environmental impact of AI technologies. As the AI & Climate Lead at Hugging Face, she has become one of the most recognized voices advocating for sustainable AI development. Her work bridges the gap between cutting-edge machine learning research and ecological responsibility, ensuring that technological progress aligns with climate goals.
Luccioni’s journey into this field began with a realization: while AI holds tremendous potential to address global challenges, its growing computational demands also carry high environmental costs. In response, she has dedicated her career to developing tools and methodologies that help measure and reduce AI’s carbon footprint.
In 2020, she co-developed a tool allowing engineers to quantify the carbon emissions of AI models, which has been downloaded over a million times. Two years later, she co-authored a landmark study that found BLOOM, the world’s largest open-source multilingual model at the time, generated about 50 metric tons of CO₂ … equivalent to about 80 transatlantic flights. This research drew widespread attention to the hidden environmental toll of large-scale AI systems.
Beyond academia, Luccioni’s mission extends into public advocacy and innovation. At Hugging Face, she is spearheading the creation of an “energy star rating for AI”, a standardized framework to help companies evaluate the climate impact of their models. She has presented her findings on major platforms, including TED, emphasizing that her goal is not to limit AI’s growth but to make it more sustainable, transparent, and equitable.
AI & Climate Lead at Hugging Face, integrating sustainability into machine learning development.
Creator of a widely used carbon tracking tool for AI models, downloaded over one million times.
Co-author of the BLOOM emissions study, highlighting the environmental cost of large-scale AI.
TED Speaker (2024), presenting on the importance of sustainable AI design.
Developer of the upcoming “energy star for AI” framework, helping organizations measure and compare model efficiency.
Global advocate for green AI, shaping research and policy on ethical, climate-conscious innovation.
