Responsible Scaling Policy

A Responsible Scaling Policy is a self-imposed rule an AI company sets for itself, promising that as its models grow more capable, it will strengthen its safety measures by a matching degree.

It's similar to a car maker promising that every time it raises a new car's top speed, it will also upgrade the brakes and airbags to match. Just as it's dangerous to make a car faster without improving its brakes, the core idea here is that as AI models get smarter, the safeguards that filter out dangerous knowledge must get stronger too.

Under this policy, Anthropic sorts its models' risk levels into tiers, and once a model crosses a certain threshold, stronger safeguards are automatically supposed to kick in. The company also regularly publishes reports on whether these safeguards are actually working as intended, so outsiders can check.

In articles, you'll see phrasing like: "Anthropic disclosed the issue through the risk report it regularly publishes under its Responsible Scaling Policy." A common misunderstanding is that this isn't a government-imposed legal regulation — it's an internal policy the company voluntarily adopted and committed to follow. That's why, as in the case where a filter sat disabled for 11 months, simply having a policy on paper doesn't guarantee it's actually being enforced in practice.