Two Christian computer science professors will speak about the origins, limits, ethics and other facets of AI. Several professors from other academic disciplines will explain how they are using AI, and what they have learned.
Speakers:
George Varghese is the Jonathan B. Postel Professor of Networking in the Computer Science department at UCLA. He was elected to the National Academy of Engineering in 2017, to the National Academy of Inventors in 2020, to the Internet Hall of Fame in 2021, and to the American Academy of Arts and Sciences in 2022. He has worked on algorithmic techniques for speeding up routers, on new formal methods to proactively prevent Internet errors, and most recently on using Large Language Models (that underlie ChatGPT for example) in networking.
After earning his PhD in machine learning from Carnegie Mellon University, George Montañez became a data scientist with Microsoft (AI+R), and is currently an assistant professor of Computer Science at Harvey Mudd College in Claremont, CA. A former NSF Graduate Research Fellow and Ford Foundation Predoctoral Fellow, he served as an intern at Microsoft Research and Yahoo! Labs during graduate school. His research lies at the intersection of machine learning, algorithmic search, and information theory.
Robert Klitgaard is a University Professor at Claremont Graduate University, where he served as President from 2005-9. Formerly Dean of the Pardee RAND Graduate School and a professor at Harvard and Yale, he consults around the world on government reform and economic strategy. His 14 books include Policy Analysis for Big Issues: Confronting Corruption, Elitism, Inequality, and Despair (2023). His Tropical Gangsters was named one of the New York Times’ Books of the Century. He is a member of the World Economic Forum Impact Circle on Artificial Intelligence.
Scott Comulada, DrPH, is a professor-in-residence in the UCLA Departments of Psychiatry and Biobehavioral Sciences and Health Policy and Management, director of the Semel Institute Center for Community Health, statistician, and public health researcher. His work focuses on the development and evaluation of digital health interventions that incorporate chatbots and virtual reality.
Norman Herr is a professor of science and educational technology at California State University, Northridge. He has taught 40 different science, science education, and educational technology related courses. He is one of the authors of the California Frameworks for Teaching Physics and Chemistry. He directs the CSUN Masters Program in Science Education, the Credential Program in Science Education and the CSUN Math & Science Teacher Initiative.
