John Friedman told The Wall Street Journal that while access to top industry leaders is a benefit of alternative programs, traditional colleges offer proven track records, experienced faculty and exposure to students with diverging career paths.

In ThePrint, Ashutosh Varshney writes that AI's rapid rise carries both promise and peril, and that political choices, not just technology, will determine how nations like India manage its benefits and disruptions.

In Politico, Suresh Venkatasubramanian offered commentary on the implications of AI models going rogue.

Lyle Goldstein discussed what to expect from this week's summit between President Donald Trump and Chinese President Xi Jinping in an interview with Forbes Newsroom.

Suresh Venkatasubramanian, a professor of data science and computer science, offered commentary in this HuffPost article.

This year, Brown’s Center for Technological Responsibility, Reimagination and Redesign (CNTR) partnered with the Watson School to co-sponsor its AI Policy Summer School. The program brought together graduate students from various universities across the United States to learn from leading AI policy experts and to meet with members of Congress and officials from executive agencies to discuss AI policy priorities.

On the Breaking Math podcast, Marc Dunkelman discussed how America's historical approaches to concentrated corporate power can inform today's debates over artificial intelligence regulation.

Marc Dunkelman's book "Why Nothing Works" was cited in The Seattle Times.

Andrew Schrank co-authored this op-ed on AI and the future of work.

In this interview, Marc J. Dunkelman discussed the growing frustration with the government’s inability to finish major projects on time and on budget and what can be done about it.

Deborah Gordon will deliver a talk at the next meeting of the New Bedford Science Café on April 7.