"But two experts are trying to bring green AI back into the conversation. Sasha Luccioni built a prominent profile over the past five years as AI & climate lead at open source AI company Hugging Face. Now, she and Boris Gamazaychikov, the former head of AI sustainability at Salesforce, say they plan to help organizations make AI sustainability practical and measurable - through rigorous studies examining AI's environmental impacts, research-driven guidance on AI strategy and procurement, and tools and frameworks that developers and business leaders can apply in the real world."
"Most companies still care about sustainability goals internally, even if the public discourse has shifted toward 'AI race' rhetoric and beating China, she said. The pair's newly-launched Sustainable AI Group will help businesses "better understand the choices that they can make," she explained-where models are running and what kind of models are used to help organizations decarbonize and "de-risk their AI use as much as possible.""
"The problem, Luccioni said, is that today's AI, with its energy-hungry data centers and heat-intensive chips and servers that often require massive cooling systems, is exposing organizations to volatile costs, supply constraints, regulatory uncertainty, and growing pressure from both communities and employees. But, she added, the good news is that every layer of the AI stack can be d"
AI sustainability has been overshadowed by competition for computing power, energy, and geopolitical advantage. Two experts aim to bring sustainability back by helping organizations make AI environmental impacts practical and measurable. They plan rigorous studies of AI’s environmental effects, research-driven guidance for AI strategy and procurement, and tools and frameworks for developers and business leaders. Many companies still pursue sustainability goals internally even when public messaging focuses on an “AI race.” A newly launched Sustainable AI Group will help businesses understand model and infrastructure choices, including where models run and what model types are used, to decarbonize and reduce uncertainty and risk. AI selection can incorporate sustainability considerations across the stack.
#ai-sustainability #environmental-impact #ai-procurement #data-centers-and-energy-use #decarbonization
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