Artificial Intelligence

Ashish Hingle’s research examines how students develop an understanding of artificial intelligence (AI) through coursework and activities both inside and outside the classroom. He states, "As we prepare our students to be informed users and developers of algorithms and AI, we must align their learning with their interests." 

Virginia governor Glenn Youngkin has appointed Jamil N. Jaffer, the founder and executive director of the National Security Institute (NSI), to his new Artificial Intelligence (AI) Task Force, which will work with legislators to regulate rapidly advancing AI technology. Jaffer is one of 10 appointees to the task force, alongside NSI Fellow Zach Graves.

A new study from the College of Public Health, led by Professor Janusz Wojtusiak and Health Services Research doctoral candidate Ghaida Alsadah explores the use of machine learning to predict social isolation among caregivers of individuals with Alzheimer’s Disease and related disorders.

New faculty member Thema Monroe-White joins the Schar School and the College of Engineering and Computing.

Artificial intelligence can perform peer firm selection—a key task for investors—at least as accurately as well-established alternative algorithms and human experts, according to research by Costello profs Long Chen and Yi Cao.

Professor John Cantiello reviews the literature to find out who is cheating, how, and how to head it off

This research is focused on smoking cessation particularly for Virginia youth and is funded in part by a Virginia Foundation for Healthy Youth grant

A $1 million grant from the U.S. Senate will create a new interdisciplinary center at George Mason designed to help Virginia small businesses take advantage of advances in artificial intelligence. Read who is behind this first-of-its-kind center and how it will work.

MeAgainMeds.com, a free AI-powered website, helps clinicians more effectively match patients with the optimal antidepressant using big data.

In two recent research projects, George Mason statistics professor Abolfazl Safikhani has applied machine learning tools to time series analysis of land use and real estate pricing to help decision-makers in urban planning and real estate.