Artificial Intelligence (AI)

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 new report finds that the Mexican government's actions against journalists from 2018 to 2024 could constitute grounds to investigate the crime of persecution.

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.

If federal agencies fail to create records related to their AI interactions, they effectively insulate their decisionmaking from oversight.

Tests of six popular AI models show how easily their election safeguards can be bypassed, and what companies, lawmakers, and civil society should be before November.

The challenges facing the U.N. include recurrent financial shortfalls and political irrelevance to some of the world's major crises.

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.