Anthropic Updates Responsible Scaling Policy to Boost Transparency and Accountability
Anthropic unveils a revised Responsible Scaling Policy with a Frontier Safety Roadmap, regular Risk Reports, and clearer separation between company commitments and industry recommendations.
By Maria KonashUpdated
3 mins readAnthropic rolls out Responsible Scaling Policy 3, strengthening AI risk controls and boosting transparency standards. Photo: Anthropic
Anthropic has released the third iteration of its Responsible Scaling Policy (RSP), the voluntary framework designed to reduce catastrophic risks from AI systems. The update builds on over two years of experience with the policy, reinforcing what has worked while addressing gaps in transparency, accountability, and risk management.
Learning from Past Versions
The original RSP, launched in September 2023, used conditional “if-then” commitments based on AI Safety Levels (ASLs) to implement safeguards as AI models grew more capable. Early ASLs (ASL-2 and ASL-3) were clearly defined and successfully implemented, while higher levels (ASL-4 and ASL-5) were intentionally left undefined due to uncertainty over capabilities and the difficulty of implementing mitigations unilaterally.
Anthropic’s assessment found that the RSP successfully incentivized stronger internal safeguards, encouraged other AI companies to adopt similar practices, and informed early government AI policy. However, the framework did not fully achieve consensus-building across the AI industry, and higher-level mitigations may remain unattainable without coordinated multilateral action.
Key Updates in RSP Version 3
Separating Company and Industry Commitments
The new RSP distinguishes between mitigations Anthropic will implement internally and ambitious recommendations for the broader AI ecosystem.
Frontier Safety Roadmap
Anthropic now requires a publicly disclosed Frontier Safety Roadmap outlining risk mitigation plans across Security, Alignment, Safeguards, and Policy. Goals are ambitious but achievable and allow the company to transparently track progress. Examples include:
Moonshot R&D projects for unprecedented information security measures
Red-teaming systems beyond standard bug bounty contributions
Systematic monitoring of Claude’s behavior to ensure adherence to its constitution
Centralized AI development record-keeping and analysis for insider or security risks
Publishing a policy “regulatory ladder” to guide government AI regulations
Risk Reports and External Review
Anthropic will now publish detailed Risk Reports every 3–6 months, assessing model capabilities, threat models, and active mitigations. Selected Risk Reports will undergo external review by independent AI safety experts, providing transparent evaluation of Anthropic’s analysis and recommendations.
A Living Policy for a Rapidly Evolving Technology
The Responsible Scaling Policy is explicitly designed to evolve alongside AI capabilities. Version three amplifies successful aspects of prior RSPs, commits to more transparency, and separates Anthropic’s internal plans from industry-wide recommendations. Anthropic will continue to refine the policy and its risk evaluation methods as AI technologies advance, a priority underscored by recent revelations of industrial-scale campaigns by DeepSeek, Moonshot, and MiniMax attempting to illicitly extract Claude’s capabilities via fraudulent accounts, highlighting both national security concerns and the critical importance of robust AI safeguards.
Maria Konash is the Editor in Chief of AIstify, where she leads the platform’s editorial vision at the intersection of artificial intelligence, technology, and society. She oversees AIstify’s coverage of emerging AI trends, industry developments, and practical use cases, ensuring that complex topics are explained with clarity, accuracy, and real-world relevance.
With a strong focus on editorial quality and structure, Maria shapes content that serves both professionals and curious readers - from in-depth AI briefs and explainers to glossary entries and thought leadership pieces. Her work emphasizes clear language, strong context, and editorial integrity, helping readers understand not just what is happening in AI, but why it matters.
As Editor in Chief, she also sets content standards across the platform, guiding contributors and maintaining a consistent, accessible tone that defines AIstify’s voice in the fast-evolving AI landscape.
