from training.npr.org: https://training.npr.org/sources/alex-hanna/
machine learning

Alex Hanna is director of research at the Distributed AI Research Institute (DAIR), an independent organization that studies the development and impact of artificial intelligence. Previously, Hanna was a senior research scientist at Google studying ethical artificial intelligence and fair machine learning. A sociologist by training, her work centers on the data used in new computational technologies.

Saif Shahin is a professor at American University in Washington, D.C. Shahin researches technology policy; the implications of disinformation online; media coverage of global politics; diversity and inclusion efforts in digital spaces; and online social movements.

Piyush Mehta is an assistant professor of aerospace engineering and space systems at the Statler College of Engineering and Mineral Resources at West Virginia University. He’s an expert in astrodynamics, machine learning and space weather — conditions caused by solar winds, explosions on the sun’s surface, and other solar phenomena.

Pedro Domingos teaches computer science at the University of Washington.

Charles Isbell is the dean of Georgia Tech’s College of Computing, a professor of interactive computing, executive director of the Constellations Center for Equity in Computing, and an expert in artificial intelligence and machine learning.