AI safety and governance

Where twenty years of building operational infrastructure is headed next.

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The understanding deficit

Public grasp of AI governance lags the stakes.

The opacity gap

Capability outpacing safety measurement.

Concentration of power

Among a handful of private developers.

Cognitive enfeeblement

What reliance on AI does to human judgment.

Mapping the AI Governance Ecosystem

How policy, oversight, and power intersect across labs, safety researchers, evaluators, capital, and watchdogs.