These days, it seems everyone is talking about artificial intelligence and machine learning—think ChatGPT. But how do these work, and where do they fall short? In this week’s episode, we do a deep dive on these tools with Fernanda Viégas, whose work in academia and industry focuses on people-centered machine learning.
This episode was recorded on February 29, 2024.
Released on May 2, 2024.
Episode Transcript
Guest
Fernanda Viégas is a Sally Starling Seaver Professor at Harvard Radcliffe Institute, a Gordon McKay Professor of Computer Science at the Harvard John A. Paulson School of Engineering and Applied Sciences, and an affiliate with Harvard Business School. With her longtime collaborator, Martin Wattenberg, she coleads Google’s People + AI Research (PAIR) initiative, which advances the research and design of people-centric AI systems.
Related Content
Fernanda Viégas: Fellowship Biography
Fellow’s Talk: What’s Inside a Generative Artificial-Intelligence Model? And Why Should We Care?
People + AI Research
Credits
Ivelisse Estrada is your cohost and the editorial manager at Harvard Radcliffe Institute (HRI), where she edits Radcliffe Magazine.
Kevin Grady is the multimedia producer at HRI.
Alan Catello Grazioso is the executive producer of BornCurious and the senior multimedia manager at HRI.
Jeff Hayash is a freelance sound engineer and recordist.
Heather Min is your cohost and the senior manager of digital strategy at HRI.
Anna Soong is the production assistant at HRI.
Mahbuba Sumiya is a multimedia intern at HRI and a Harvard College student.

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