Responsible Scaling Policy Version 3.0
Summary
Anthropic releases Version 3.0 of its Responsible Scaling Policy, aimed at addressing evolving AI risks and enhancing transparency and accountability in AI development.
Why It Matters
As AI technologies rapidly advance, the potential for catastrophic risks increases. This updated policy reflects Anthropic's commitment to proactive risk management and sets a precedent for industry-wide safety standards, encouraging other companies to adopt similar frameworks.
Key Takeaways
- The Responsible Scaling Policy (RSP) aims to mitigate emerging AI risks.
- Conditional commitments are central to the policy, adjusting safeguards based on AI capabilities.
- Anthropic seeks to inspire a 'race to the top' in AI safety among industry players.
PolicyAnnouncementsAnthropic’s Responsible Scaling Policy: Version 3.0Feb 24, 2026Read the Responsible Scaling PolicyWe’re releasing the third version of our Responsible Scaling Policy (RSP), the voluntary framework we use to mitigate catastrophic risks from AI systems.Anthropic has now had an RSP for more than two years, and we’ve learned a great deal about its benefits and its shortcomings. We’re therefore updating the policy to reinforce what has worked well to date, improve the policy where necessary, and implement new measures to increase the transparency and accountability of our decision-making.You can read the new RSP in full here. In this post, we’ll discuss some of the thinking behind the changes.The original RSP and our theory of changeThe RSP is our attempt to solve the problem of how to address AI risks that are not present at the time the policy is written, but which could emerge rapidly as a result of an exponentially advancing technology. When we wrote the original RSP in September 2023, large language models were essentially chat interfaces. Today they can browse the web, write and run code, use computers, and take autonomous, multi-step actions. As each of these new capabilities have emerged, so have new risks. We expect this pattern to continue.We focused the RSP on the principle of conditional, or if-then, commitments. If a model exceeded certain capability levels (for example, biological science capabilities that could assist in the creation of dangero...
