• Behind the scenes with the #INFORMS2024 Plenaries: AI Fireside Chat

  • 2024/10/21
  • 再生時間： 39 分
  • ポッドキャスト

Behind the scenes with the #INFORMS2024 Plenaries: AI Fireside Chat

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  • We’re continuing our countdown to the 2024 INFORMS Annual Meeting, in Seattle, Washington, October 20-23, when more than 6,000 INFORMS members, students, prospective employers and employees, and academic and industry experts will share the ways O.R. and analytics are fueling Smarter Decisions for a Better World.

    In this episode, I’m joined by Cynthia Rudin, with Duke University, Charles Isbell, with the University of Wisconsin, and Michel Littman, with the National Science Foundation, for a preview of their plenary session, “Making the Most of this AI Moment: A Fireside Chat.”

    Charles serves as the provost and vice chancellor for academic affairs with the UW-Madison, and Michael is the division director for information and intelligent systems at NSF.

    Cynthia, the session moderator, is a longtime INFORMS member and the Gilbert, Louis, and Edward Lehrman Distinguished Professor of Computer Science at Duke University, as well as heads the Interpretable Machine Learning Lab.
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あらすじ・解説

We’re continuing our countdown to the 2024 INFORMS Annual Meeting, in Seattle, Washington, October 20-23, when more than 6,000 INFORMS members, students, prospective employers and employees, and academic and industry experts will share the ways O.R. and analytics are fueling Smarter Decisions for a Better World.

In this episode, I’m joined by Cynthia Rudin, with Duke University, Charles Isbell, with the University of Wisconsin, and Michel Littman, with the National Science Foundation, for a preview of their plenary session, “Making the Most of this AI Moment: A Fireside Chat.”

Charles serves as the provost and vice chancellor for academic affairs with the UW-Madison, and Michael is the division director for information and intelligent systems at NSF.

Cynthia, the session moderator, is a longtime INFORMS member and the Gilbert, Louis, and Edward Lehrman Distinguished Professor of Computer Science at Duke University, as well as heads the Interpretable Machine Learning Lab.
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