Responsible Scaling Policy
An AI safety commitment mechanism proposed by Anthropic that sets model capability thresholds, triggering corresponding safety requirements when a model reaches a specified danger level. It constitutes a voluntary, unilateral safety commitment framework.
Core Facts
Anthropic pioneered the "Responsible Scaling Policy" (RSP), classifying AI systems into four safety levels from ASL-1 to ASL-4 based on capability.
Anthropic has implemented a Responsible Scaling Policy (RSP) that sets corresponding safety protection requirements based on model capability levels.
Timeline (last 90 days)
These safety frameworks stipulate that models must satisfy corresponding mitigation measures when they reach a specific risk level before they can be released.
In its 2024 Responsible Scaling Policy, Anthropic committed that if, with the help of AI, work that would take two years at the 2018–2024 pace can be completed within one year, that would constitute reaching AI R&D level 5 threshold
A core flaw in Anthropic's Responsible Scaling Policy is that the authority to determine whether a threshold has been reached remains in the laboratory's own hands rather than with an independent third party
Representative versions of Responsible Scaling Policies (RSP) include the document of the same name published by Anthropic in 2023.
Critics point out that RSPs are essentially self-commitments by labs, lacking independent third-party oversight mechanisms.
Anthropic has a self-imposed framework called the Responsible Scaling Policy (RSP).
Anthropic has implemented a Responsible Scaling Policy (RSP) that sets corresponding safety protection requirements based on model capability levels.
Several leading laboratories have released their respective Responsible Scaling Policies or Preparedness Frameworks.
Several leading laboratories have published their respective Responsible Scaling Policies or Preparedness Frameworks, setting risk-level thresholds for model capabilities.
All Facts (10)
Anthropic pioneered the "Responsible Scaling Policy" (RSP), classifying AI systems into four safety levels from ASL-1 to ASL-4 based on capability.
90%VerifiedAnthropic has implemented a Responsible Scaling Policy (RSP) that sets corresponding safety protection requirements based on model capability levels.
65%UnverifiedSeveral leading laboratories have published their respective Responsible Scaling Policies or Preparedness Frameworks, setting risk-level thresholds for model capabilities.
70%UnverifiedThese safety frameworks stipulate that models must satisfy corresponding mitigation measures when they reach a specific risk level before they can be released.
50%UnverifiedIn its 2024 Responsible Scaling Policy, Anthropic committed that if, with the help of AI, work that would take two years at the 2018–2024 pace can be completed within one year, that would constitute reaching AI R&D level 5 threshold
50%UnverifiedA core flaw in Anthropic's Responsible Scaling Policy is that the authority to determine whether a threshold has been reached remains in the laboratory's own hands rather than with an independent third party
50%UnverifiedRepresentative versions of Responsible Scaling Policies (RSP) include the document of the same name published by Anthropic in 2023.
50%UnverifiedCritics point out that RSPs are essentially self-commitments by labs, lacking independent third-party oversight mechanisms.
50%UnverifiedAnthropic has a self-imposed framework called the Responsible Scaling Policy (RSP).
50%UnverifiedSeveral leading laboratories have released their respective Responsible Scaling Policies or Preparedness Frameworks.
50%