ChatGPT, AI, and the Future of Higher Education: A Virtual Panel Discussion

Feb 16, 2023
2 - 3:30pm EST
Online
Registration is required
This event is free

Who can attend?

  • General public
  • Faculty
  • Staff
  • Students

Contact

Kate Stevens, Institute for Data-Intensive Engineering and Science (IDIES); Carey Business School; Sheridan Libraries—Data Services

Description

Join us for a thought-provoking panel discussion on the future of higher education and the implications of ChatGPT. Our expert speakers will take a critical look at the potential consequences and ethical conditions of using this powerful tool in academia. From data collection and analysis to the impact on society, this panel will explore the complex issues surrounding the integration of ChatGPT in higher education. Don't miss this opportunity to engage in a meaning dialogue and gain a deeper understanding of the future of academia. Register* now for the "ChatGPT and the Future of Higher Education" panel discussion and be a part of shaping the responsible use of technology in higher education.*

  • The above paragraph was written by an AI tool and does not necessarily reflect—or include—all topics that will be covered in the discussion.

Join the Institute of Data Intensive Engineering and Science for a virtual panel discussion regarding the academic implications of ChatGPT and artificial intelligence (AI), featuring speaker-panelists: Christian Terwiesch from The Wharton School at The University of Pennsylvania and Johns Hopkins faculty Jenna Frye, Jared Kaplan, and Thomas Lippincott. This panel, moderated by Tinglong Dai and Pete Lawson, is the inaugural event of the "Data Intensive Social Science" speaker series and will take place as part of "Love Data Week 2023" at Johns Hopkins University.

Who can attend?

  • General public
  • Faculty
  • Staff
  • Students

Registration

Registration is required

Please register in advance

Contact

Kate Stevens, Institute for Data-Intensive Engineering and Science (IDIES); Carey Business School; Sheridan Libraries—Data Services