Open-source large language models are dramatically altering AI research and innovation, wresting power from large tech companies and limiting the ability of governments to regulate this new technology.

Bruce Schneier, Kennedy School Adjunct Lecturer and an affiliate of the Belfer Center's Science, Technology, and Public Policy Program, appeared on GBH News to discuss the legal questions surrounding Montana's TikTok ban.

In a keynote speech delivered during the RSA Conference in San Francisco on April 25, 2023, Bruce Schneier argues that we need to recreate our system of governance for an era in which transformative technologies pose catastrophic risks as well as great promise.

We will all soon get into the habit of using AI tools for help with everyday problems and tasks. We should get in the habit of questioning the motives, incentives, and capabilities behind them, too, argue Nathan Sanders and Bruce Schneier.

The applications of AI to political advertising have not escaped campaigners, who are already “pressure testing” possible uses for the technology for the 2024 U.S. presidential election, say Nathan E. Sanders and Bruce Schneier.

A.I. could bolster democracy instead of undermining it - if there were an A.I. system developed by government and available to all citizens, argue Bruce Schneier, Henry Farrell, and Nathan Sanders.

Belfer Center experts on security, intelligence, and cybersecurity issues were interviewed on the recent leak of classified military intelligence documents allegedly by Airman Jack Teixeira.

Thanks to large language models, a single scammer can run hundreds or thousands of cons in parallel, night and day, in every language under the sun.

Artificial intelligence will make lobbying more guileful, and perhaps more successful, argue Nathan Sanders and Bruce Schneier.

Congress is currently debating bills that would ban TikTok in the United States. Bruce Schneier and Barath Raghavan argue that the side effects of such a ban would be both intolerable and ineffective.