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A global race to build powerful AI is not inevitable. Here’s how technical solutions can help foster cooperation.

Abandoning liability mechanisms risks creating a dangerous regulatory vacuum.

Autonomous AI-enabled organizations are increasingly plausible. They would fundamentally break the way we regulate the economy.

For safety-critical domains like energy grids, "probably safe" isn't good enough. To fulfill the potential of AI in these areas, we need to develop more robust, mathematical guarantees of safety.

In the absence of federal legislation, the burden of managing AI risks has fallen to judges and state legislators — actors lacking the tools needed to ensure consistency, enforceability, or fairness.

AI is increasingly being used for emotional support — but research from OpenAI and MIT raises concerns that it may leave some users feeling even worse.

An unchecked autonomous arms race is eroding rules that distinguish civilians from combatants.

Classic arguments about AI risk imagined AIs pursuing arbitrary and hard-to-comprehend goals. Large Language Models aren't like that, but they pose risks of their own.

US lawmakers propose a new system to check where chips end up.

Despite years of effort, mechanistic interpretability has failed to provide insight into AI behavior — the result of a flawed foundational assumption.

Dynamism vs. stasis is a clearer lens for criticizing controversial AI safety prescriptions.

Securing AI weights from foreign adversaries would require a level of security never seen before.

AI Frontiers spoke with leading researchers and a CEO building AI agents to explore how AI will reshape work—and whether the jobs of the future are ones we’ll actually want.

President Trump vowed to be a peacemaker. Striking an “AI deal” with China could define global security and his legacy.

New research shows frontier models outperform human scientists in troubleshooting virology procedures—lowering barriers to the development of biological weapons.

Corporate capture of AI research—echoing the days of Big Tobacco—thwarts sensible policymaking.

AI is poised to leave a lot of us unemployed. We need to rethink social welfare.

Continued sales of advanced AI chips allow China to deploy AI at massive scale.

Realizing AI’s full potential requires designing for opportunity—not just guarding against risk.

Rather than rushing toward catastrophe, the US and China should recognize their shared interest in avoiding an ASI race.

AI risk may have unique elements, but there is still a lot to be learned from cybersecurity, enterprise, financial, and environmental risk management.

AI is naturally prone to being tricked into behaving badly, but researchers are working hard to patch that weakness.

Autonomous systems are being rapidly deployed, but governance efforts are still in their infancy.