CMU School of Computer Science dean discusses AI challenges

The dean of Carnegie Mellon University’s renowned School of Computer Science shared his perspective on the challenges facing AI implementation. The presentation by Martial Hebert was part of the Distinguished Lecture Series at Carnegie Mellon University in Qatar, a Qatar Foundation partner university.

Carnegie Mellon University is an internationally renowned leader in the area of Artificial Intelligence, with the number one programs in AI at both the undergraduate and graduate levels according to U.S. News & World Report. Hebert spoke to an audience of students, faculty and researchers from across Education City.

During his talk, Hebert reviewed the key research challenges that stand in the way of deploying AI systems in different real-world applications. Drawing on examples from current research in the seven departments of the School of Computer Science, Hebert discussed fundamental questions such as reducing the dependence on curated data, combining symbolic knowledge with statistical techniques, formally validating and characterizing system performance, human modeling for AI interaction, and systematic approaches to dynamically distributed AI components.

Hebert has been a faculty member at Carnegie Mellon for more than thirty years, and served as the director of the Robotics Institute from 2015 to 2019. His research areas include computer vision, autonomous systems, and machine learning.