Anthropic Responsible Scaling Policy v3: Dive Into The Details

Anthropic has fundamentally redesigned its approach to AI safety with Responsible Scaling Policy v3.0, shifting from a system of binding commitments to a flexible framework based on 'strong arguments' and trust. The new policy explicitly states that all elements—including the Frontier Safety Roadmap and Risk Reports—are subject to change at any time. This represents a significant departure from RSP v2.2, which contained specific promises that many in the AI safety community relied upon for decision-making.

Key components include periodic Risk Reports every 3-6 months that aim for full candor about threat models and mitigations, plus executive veto points for major capability advances. The policy introduces two distinct standards: what Anthropic will do independently, and what they believe should be industry-wide requirements. Critics note the framework doesn't commit Anthropic to match its own proposed global safety rules, creating ambiguity about whether the company will practice what it preaches.

The change has sparked debate about whether voluntary self-governance can work without binding commitments. As AI researcher Peter Wildeford noted, if Anthropic doesn't match or exceed the global rules it advocates for, this marks the failure of their self-governance experiment. The policy maintains ASL-3 mitigations across all models and emphasizes security against insider threats, but the fundamental shift toward flexibility raises questions about accountability in AI development.