AI & Climate Lead
Hugging Face
The rapid expansion of AI brings with it a growing environmental burden. To truly harness its potential, we must prioritize sustainability from the ground up. This session delves into the practical solutions for minimizing AI's ecological footprint across its entire lifecycle – and lead to a truly "clean by design" AI ecosystem. From optimizing algorithms and developing energy-efficient hardware to reimagining data center cooling and exploring alternative energy sources, experts will address the critical steps needed to reduce AI's reliance on finite resources and the role of regulatory frameworks and industry initiatives in fostering responsible innovation.
AI models begin in lines of code and run in data centers -but their ripple effects touch ecosystems, economies, and livelihoods across the globe. This talk will explore the hidden environmental and societal costs of AI systems—from the carbon footprint of training large-scale models to the broader consequences of automation, bias, and resource consumption. It will make the case for a more intentional, accountable, and ecologically aware approach to AI development— one where efficiency, ethics, and sustainability are built into AI systems from the start.
A deep dive into tech’s role in sustainability: where we stand, what’s next. From ESG trends to AI’s impact, leaders explore challenges, share success stories, and rethink cross-functional leadership in a shifting global context.