Searching for Fit: The Impacts of AI in Higher Ed

On this episode, Jeff and Michael tackle the question everyone is asking: how will AI transform higher ed? For help in finding the answer, they turn to bestselling author and professor of computer science at Georgetown University, Cal Newport. They discuss AI’s academic and operational implications, its ethical and practical considerations, and the stages and timeline over which we can expect this technological transformation to unfold. This episode is made with support from CollegeVine.

Links We Share

“Bad Bets,” Lightcast

“Good Jobs in Bad Times,” Future U

Chapters

(0:00) Intro
(4:06) Contextualizing AI in Higher Ed History
(7:03) Factors Delaying Implementation
(8:50) How AI is Changing Knowledge Work
(11:19) Should we Be Teaching about AI?
(18:45) Educating Students on AI’s Ethical Implications
(21:51) Differential Effects on Coding and Writing
(23:46) How AI Could Impact Higher Ed Inside and Outside the Classroom
(29:21) “The Development of AI That We’re Worried About”
(33:12) Parallels with the Days of The Early Internet
(40:56) AI’s Impacts on Writing
(43:15) Adaptations Required to Integrate AI in Higher Ed

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