Regulation

Just Security's collection of 100+ articles analyzing the implications of AI for society, democracy, human rights, and warfare.

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…

The US government must ensure a robust federal capacity to oversee products like Muse before more harm is done to users' privacy rights.

The next administration should lean into enforcement as a strategy to advance fairness, justice, and the rule of law.

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

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

State lawmakers and regulators should work to prohibit companionship chatbots that interact with minors as bullies.

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.

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

Cautionary tales show well-intentioned procedural requirements can tie up decisionmaking without meaningfully enhancing outcomes.

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