Catch the Ask AI interview with Joelle Pineau, Vice President of AI Research at Meta, to learn about her AI journey, her work leading Meta’s FAIR teams from Montréal, and the importance of repeatability, openness, and diversity in AI research.
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The 5th series of the Ask AI podcast kicks off BIG STYLE as host Melissa Kargiannakis meets Joelle Pineau, the Vice President of AI Research at Meta, the Co-director of the Reasoning and Learning Lab at McGill University, and one of the brightest stars in global AI research.
Tune in to this lively discussion that dives into many of the most pertinent subjects in AI research, including:
The importance of reproducibility in AI research
Making the transition from academia to industry
The commercialization of AI technology
The challenges of openness and diversity in AI research
The incredible potential for AI to accelerate scientific discovery
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What you'll discover
> How the Facebook AI Research (FAIR) group is approaching fundamental problems in AI and advancing machine intelligence through deep scientific and engineering approaches.
> Why reproducibility is a fundamental tenet of science and helps build confidence in research results.
> Why canada has seen a significant increase in AI research and commercialization, with more big companies setting up offices, startups emerging, and established companies increasing their AI capacity.
> How the regulation of AI should be approached, with a focus on risk-based approaches and end-use cases rather than categorizing models as dangerous.
> Why diversity in AI research is crucial to bringing different perspectives and asking different questions, ultimately improving the quality of work, and how AI can be used to preserve and enhance languages and cultures.
> How AI has the potential to revolutionize scientific discovery by accelerating progress in areas like materials design, drug discovery, and chemistry.
About Joelle Pineau, Vice President, AI Research, Meta
Joelle Pineau is Vice President of AI Research at Meta where she is head of the company’s Fundamental AI Research (FAIR) center in Montreal. She is also a professor and William Dawson Scholar at the School of Computer Science at McGill University where she co-directs the Reasoning and Learning Lab.
Her research focuses primarily on developing new models and algorithms for planning and learning in complex, partially observable domains. Joelle also applies these algorithms to robotics, health care, games, and conversational agents.
She also serves on the board of the Journal of Artificial Intelligence Research and the Journal of Machine Learning Research.
Joelle holds a BASc in Engineering from the University of Waterloo and an MSc and Ph.D. in Robotics from Carnegie Mellon University.
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