Professor Daniela Rus, the director of MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL), deputy dean of research for the MIT Schwarzman College of Computing, and the Andrew and Erna Viterbi Professor of Electrical Engineering and Computer Science at MIT. Photo: Jason Dorfman/MIT CSAIL
Adam Conner-Simons | MIT CSAIL
CSAIL director and MIT Schwarzman College of Computing deputy dean of research will serve on the President’s Council of Advisors on Science and Technology.
This week the White House announced that MIT Professor Daniela Rus, director of MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL), has been selected to serve on the President’s Council of Advisors on Science and Technology (PCAST).
The council provides advice to the White House on topics critical to U.S. security and the economy, including policy recommendations on the future of work, American leadership in science and technology, and the support of U.S. research and development.
PCAST operates under the aegis of the White House Office of Science and Technology Policy (OSTP), which was established in law in 1976. However, the council has existed more informally going back to Franklin Roosevelt’s Science Advisory Board in 1933.
“I’m grateful to be able to add my perspective as a computer scientist to this group at a time when so many issues involving AI and other aspects of computing raise important scientific and policy questions for the nation and the world,” says Rus.
More than a dozen MIT faculty and alumni have served on PCAST during past presidential administrations. These include former MIT president Charles Vest; Institute Professors Phillip Sharp and John Deutch; Ernest Moniz, professor of physics and former U.S. Secretary of Energy; and Eric Lander, director of the Broad Institute of MIT and Harvard and professor of biology, who co-chaired PCAST during the Obama administration. Previous councils have offered advice on topics ranging from data privacy and nanotechnology to job training and STEM education.
This article originally appeared in the MIT News on April 21, 2020.