Bruce Schneier and Nathan Sanders speak to fears about AI replacing humans' jobs, opining that this will only happen when it outperforms us in terms of speed, scale, scope, and/or sophistication.

Greg Leppert weighs in on AI developers' use of written texts, rather than simply digital ones, to train LLMs.

The rapidly growing capabilities and increasing presence of AI-based systems in our lives raise pressing questions about the impact, governance, ethics, and accountability of these technologies around ...

This is a Berkman Klein alum page. The information below may be out of date.

"The fear that women already experience on the street, at the beach, inside a store or on social media is being transformed to constant paranoia under the ever-watchful eyes of AI surveillance." ...

With Sacha Alanoca and Kevin Klyman, Affiliates Shira Gur-Arieh and Tom Zick “present a taxonomy to map the global landscape of AI regulation.” “[T]his taxonomy serves as a tool which can resist time ...

I am grateful to have been part of the first cohort of fellows at the Applied Social Media Lab at Harvard's Berkman Klein Center for Internet and Society. Over the past six months, my fellowship has ...

The potential emergence of artificial general intelligence (AGI) is plausible and should be taken seriously by the U.S. national security community. Yet the pace and potential progress of AGI's ...

In The Atlantic, Faculty Director Jonathan Zittrain probes policy questions raised by the “assumptions” large language models make about users. “Gleaning a model’s assumptions is just the beginning.

BKC Affiliate Kathy Pham introduces The United States Digital Service Origins, an oral history of the USDS featuring nearly 50 interviews telling the story of technology and government.

Rumman Chowdhury cautions that, no matter how useful AI can be, users shouldn't have it do their thinking for them.