Science & Technology

Stephen Walt analyzes the priority that the United States should place on competing with China by asking and answering five questions.

Bruce Schneier and Nathan E. Sanders propose six milestones that will herald a new era of democratic politics driven by AI in the near future.

AI is shaping up to be part of surveillance capitalism, warn Bruce Schneier and Nathan Sanders.

Calder Walton recounts how Russia and China are using their intelligence agencies to reverse the outcome of the Cold War

Gabrielle Armstrong-Scott and Jim Waldo argue that machine learning tools and a better definition of "terrorist and extremist content" could help make the Web a safer place.

A future where A.I.s interpret, apply, and enforce most laws at societal scale like this will exponentially magnify problems around fairness, transparency, and freedom, warn Jonathon W. Penney and Bruce Schneier.

A key constructive-use case for artificial intelligence in democratic processes is to serve as discussion moderator and consensus builder.

Technology companies and governments have spent the past decade trying to better address the evolving threat of terrorist and violent extremist content online (TVEC). This paper examines how effective these efforts have been, where we are today in managing the problem, and wherein lie gaps for improvement.

 The United States needs a government-funded and -directed AI program to develop widely reusable models in the public interest, guided by technical expertise housed in federal agencies, argue Bruce Schneier and Nathan E. Sanders.

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.