The NAACP Push That Could Reshape Medical Standards

Artificial intelligence is increasingly used in medicine to assist with diagnostics, risk stratification, treatment planning, and more. But because...

U.S. Attorneys General Demand Accountability for AI “Delusional Outputs”

As generative AI systems become more embedded in daily life, public officials are starting to treat their risks as a front-lin...

Why U.S. Attorneys General Are Forcing a New Era of Accountability

Generative AI systems have grown exponentially in reach and capability, but so have concerns about their reliability, safety, and po...

What the International AI Safety Report Signals for Policymakers

The rapid acceleration of AI capabilities has made governance more urgent than ever, but most regulatory conversations still focus on ...

The State of U.S. AI Regulation in 2025

The regulatory landscape for artificial intelligence in the United States has entered a transitional and often contradictory phase. While federal agencies cont...

The EU's Evolving AI Governance Strategy

As governments race to regulate artificial intelligence, the European Union has long positioned itself as the world’s standard-setter. Yet in late 2025, the b...

How NIST’s AI Risk Management Work Pushes AI Risk Management Forward

Summary

The rapid expansion of generative AI, complex AI supply chains, and emerging attack techniques has put unprecedented pres...

How Local and Sector-Specific AI Governance Is Taking Off

As national and international AI laws continue to evolve, a different story is unfolding on the ground: cities, medical associations and sect...

Why the EU Delayed High-Risk AI Rules

The European Union’s decision to postpone enforcement of the Artificial Intelligence Act’s high-risk system requirements marks a major shift in the bloc’s digita...

How Cybersecurity Frameworks are Adapting to AI Risks

Artificial intelligence has moved from experimentation to core infrastructure across sectors. As organizations increasingly embed machine learnin...

Risk-Based Frameworks for AI in Healthcare

Artificial intelligence has become one of the most promising tools in modern healthcare, offering the potential to improve diagnostics, personalize treatmen...

The Overlooked Frontier of AI Risk

Summary: The governance of training data is fast emerging as one of the most critical - and least understood - dimensions of artificial intelligence (AI) risk. Whil...