Big Tech

The argument that pacing U.S. AI development will allow China to "win the AI race" misreads Beijing's capabilities.

State governments have the authority to allow AI companies to coordinate on safety measures without running afoul of federal antitrust laws.

This series aims to set out what a meaningful, multistakeholder, and globally relevant AI accountability mechanism should look like.

Advanced AI systems have crossed an important threshold from commercial software to technologies viewed as strategic national assets.

As the risks of artificial intelligence continue to mount, the expert analysis in this series engages the fundamental question of what ought to happen when AI risks manifest into…

Taipei should extend its new semiconductor equipment certification system to test industrial AI agents, constrain their permissions, and monitor them after deployment.

A series of Supreme Court rulings have left the federal government with a narrow path to regulating open-weight AI models.

The introduction of Muse, Meta's new 24/7 AI assistant, carries significant implications for users' autonomy and data privacy.

Tech company leaders' warnings about the dangers of AI demand urgent international legal efforts to regulate artificial intelligence.

If tech leaders are serious about oversight to curtail AI risk, they will need to endow evaluators with independence, information, money, and clout to enforce decisions.

For the United States to take the lead in AI cyber operations capabilities, government and industry must create appropriate safeguards.

As the U.S. and China compete on AI, concepts such as export controls can no longer determine who leads in that or across a range of other emerging technology.