
Me, Myself, and AI
Building Connections Through Open Research: Meta’s Joelle Pineau
Jun 25, 2024
Joelle Pineau, VP of AI Research at Meta and professor at McGill, discusses AI projects, open research principles, and risks in advanced AI models. She explores challenges in optimizing ML models, the evolution of image processing technologies, and AI accelerating scientific discovery in areas like carbon capture and vaccine development.
33:35
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Quick takeaways
- Open research at Meta fosters collaboration for advanced AI models.
- Addressing bias in AI models requires evaluation across diverse groups.
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Value of Open Research at Meta
Meta emphasizes open research, sharing code libraries, and models openly to encourage collaborative contributions. This approach not only ensures high-quality and responsible work but also fosters a culture of knowledge exchange within the research community. By making research open, Meta benefits from valuable feedback and advancements from diverse teams, accelerating the improvement of models and technologies.
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