Fei-Fei Li
"Godmother of AI" | Creator of ImageNet | Co-Founder & CEO, World Labs | Sequoia Professor, Stanford University | Co-Director, Stanford HAI
Chief AI Officer at Cohere | Former VP of AI Research at Meta (Head of FAIR) | Professor, McGill University & Core Member of Mila | Pioneer of Responsible AI
Joelle Pineau is one of the world's most influential AI researchers, now Chief AI Officer at Cohere after leading Meta's Fundamental AI Research (FAIR) lab, where she helped drive the open-source Llama models. A professor at McGill University and core member of Mila, she is a pioneer of reinforcement learning and a leading champion of responsible, reproducible AI. She gives audiences an authoritative, trusted view of where AI is really heading.
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AI speaker Joelle Pineau is one of the most influential artificial intelligence researchers in the world, a leader who has helped shape the field from the frontiers of both industry and academia. She is the Chief AI Officer at Cohere, one of the world’s leading enterprise AI companies, where she oversees AI strategy across research, product, and policy. She joined after nearly eight years at Meta, where she rose to Vice President of AI Research and led its global Fundamental AI Research (FAIR) lab, overseeing the work behind the open-source Llama models and the widely used PyTorch framework.
Alongside her industry leadership, Pineau is a Professor and William Dawson Scholar at McGill University, where she co-directs the Reasoning and Learning Lab, a core academic member of Mila, the Quebec Artificial Intelligence Institute, and a Canada CIFAR AI Chair. A pioneer of reinforcement learning, she has made foundational contributions to how machines learn to make decisions under uncertainty, with influential applications in robotics, healthcare, and conversational AI. She holds a PhD in robotics from Carnegie Mellon University.
Pineau is one of the field’s most respected voices on building AI the world can trust. She has been a leading advocate for open science and reproducibility, spearheading the standards and checklists now used across major AI conferences to make research more transparent and rigorous. A Fellow of the Association for the Advancement of Artificial Intelligence and of the Royal Society of Canada, she has served as General Chair of NeurIPS and past president of the International Machine Learning Society, and was named to the Observer’s AI Power Index.
As a speaker, Joelle Pineau offers audiences a rare, authoritative view of artificial intelligence from someone who has built it at the highest levels of both research and industry. She speaks on where AI is genuinely heading, generative AI’s opportunities and risks, responsible and trustworthy AI, AI governance, and the future of AI in healthcare and the enterprise. Audiences gain a clear, credible, and refreshingly grounded understanding of the most transformative technology of our time, free of both hype and fear.
Few people are better placed to explain where AI is truly heading than Joelle Pineau, who has led research at the frontier of both Meta and Cohere. In this keynote she cuts through the hype and the fear to give audiences a clear, authoritative picture of what today’s AI can and cannot do, where the genuine breakthroughs and risks lie, and how the technology will reshape industries, work, and society. Grounded in deep research expertise, it’s an essential briefing for any leader navigating the age of AI.
Generative AI has moved from research labs into the heart of business, and Joelle Pineau has helped build it, overseeing the work behind open models like Llama. In this keynote she explains how generative AI and large language models actually work, where they create real value, and where their limitations and risks demand caution. She gives leaders a realistic, research-grounded framework for deploying generative AI responsibly and effectively, so they can capture its opportunities without being blindsided by its pitfalls.
As AI becomes embedded in high-stakes decisions, trust is everything. A leading champion of responsible, reproducible AI, Joelle Pineau shows audiences what it actually takes to build systems that are transparent, reliable, and worthy of trust. Drawing on her advocacy for open science and her leadership of major research organizations, she explores the principles and practices, from reproducibility to governance, that separate AI people can depend on from AI that merely impresses. A vital talk for any organization serious about deploying AI the right way.
Healthcare is one of the domains where AI’s promise, and its ethical stakes, are greatest, and Joelle Pineau has spent much of her career applying machine learning to medicine. In this keynote she explores how AI is transforming diagnosis, treatment, and care, from decision-support for clinicians to tools that help people manage their own health. With clear-eyed optimism, she examines both the extraordinary potential and the real challenges of deploying AI responsibly in health, making this an essential session for healthcare and life-sciences audiences.
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