Universities can no longer treat artificial intelligence (AI) as a technology that is still to arrive. AI is already changing how we teach and learn, how we conduct research, how we make decisions, and how we prepare people for work.
In this talk, Dr. Shehu will examine that change as it unfolds: generative AI in the classroom, the changing meaning of expertise, AI-enabled research, academic integrity, institutional adoption and governance, and the preparing students for AI in the workplace.
Thursday, October 29, 3:30 - 4:30pm
*Light reception to follow
TBA
Sponsored by the Faculty Senate, CADS, Computer Science Department, and McCoy College.
My work spans AI research, interdisciplinary education, academic program creation, and university-wide strategy. I lead a research lab connecting foundational methods with AI-enabled scientific discovery across domains; design courses, degrees, and pathways for learners within and across disciplines; build institutional and national research and educational programs; lead institutes, centers, and partnerships; and guide university-wide AI strategy at scale, working across faculty, students, and academic units in higher education.
Drawing on my experience leading AI strategy at George Mason University, the largest public R1 institution in Virginia, and on two decades as an AI researcher and educator, I will consider what this moment requires of universities and how they can respond without losing sight of the purposes they have long served. The disruption is real. So is the opportunity for universities to reaffirm what they owe their students and the public and to decide what kind of institutions they intend to become.
Vice President & Chief AI Officer, Associate Dean for Research, and Professor at George Mason University
