Anthropic

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…

More needs to be done to create a meaningful, viable, effective, and transparent evaluation system for frontier AI.

Hacking law assumes a human intended the break-in. AI agents are testing that assumption, and Congress may need to act.

AI models such as Anthropic's Claude Mythos raise questions about access to frontier AI and institutional capacity.

Frontier AI companies should take action to help curb the misuse of American technology by repressive governments reaching across borders.

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.

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

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.