AI Governance Institute
← News

Safety Pause Commitment Dropped from Anthropic's Responsible Scaling Policy Version 3.0

What happened

Anthropic released version 3.0 of its Responsible Scaling Policy (RSP) in February 2026, removing the company's original commitment to pause AI development if safety could not be guaranteed in advance. The safety pause provision had been a defining feature of Anthropic's voluntary governance framework since the RSP was first introduced in 2023. The removal represents a material shift away from a precautionary halt mechanism, though the specific replacement controls introduced in version 3.0 have not been fully detailed in public reporting. The source reporting was published by AI Coachella Valley at a briefs index page rather than a dedicated article. Organizations that have cited Anthropic's published governance commitments in vendor risk assessments, procurement due diligence, or regulatory disclosures should review whether those references remain accurate under the updated policy.

Why it matters

  • ·Regulatory exposure: Organizations that referenced Anthropic's safety pause commitment in regulatory filings or AI governance disclosures may now hold inaccurate representations of their supplier's risk controls, creating potential compliance gaps if regulators scrutinize third-party AI governance documentation.
  • ·Operational impact: Procurement and vendor management workflows that relied on the RSP's precautionary halt mechanism as a supplier-level safety assurance for Claude-based integrations must be updated to reflect the revised framework and any new or absent equivalent controls.
  • ·Organizational risk: The absence of publicly detailed replacement controls in RSP version 3.0 increases uncertainty in third-party AI risk assessments, making it harder for compliance teams to evaluate whether Anthropic's governance commitments continue to meet internal risk acceptance thresholds.

Governance controls affected

What to do now

  • ☐Audit all internal risk documentation, regulatory disclosures, and procurement records that cite Anthropic's Responsible Scaling Policy to identify references to the safety pause commitment and update them to reflect RSP version 3.0.
  • ☐Request updated vendor governance documentation from Anthropic or authorized resellers that details the replacement controls introduced in RSP version 3.0, and evaluate whether those controls satisfy your organization's third-party AI risk acceptance criteria.
  • ☐Review AI vendor contract requirements for Claude-based products to determine whether contractual safety commitments were linked to specific RSP provisions and whether amendments or addenda are now needed.
  • ☐Reassess the AI risk classification for any Claude-dependent systems under HOC-001, particularly where the safety pause mechanism was factored into the original risk tier determination.
  • ☐Update your third-party AI risk assessment templates to include a version-tracking field for supplier governance frameworks, ensuring future policy changes by AI vendors are detected and reviewed systematically.

What to watch next

Compliance teams should monitor Anthropic's official communications and policy publications for a detailed public disclosure of the replacement controls introduced in RSP version 3.0, as the current absence of specifics limits accurate vendor risk assessment. Teams should also track whether frontier AI safety commitments become subject to mandatory disclosure requirements under emerging regulatory frameworks in the EU, UK, or US, which could affect how voluntary policies like the RSP are weighted in compliance evaluations. Any enforcement actions or regulatory guidance referencing voluntary AI governance frameworks at major labs would signal a shift toward greater scrutiny of supplier-level safety documentation.

Related Coverage

Corporate Policy2026-10-02

OpenAI Fires Three Safety Researchers for Alleged Confidential Disclosures

OpenAI dismissed three safety researchers who allegedly shared confidential company information with a third-party AI safety organization, citing internal policy violations. The departures follow a New York Times report describing a pattern of safety concerns being deprioritized by OpenAI executives. The episode raises direct questions about the adequacy of internal safety escalation channels and whistleblower protections at frontier AI labs.

Corporate Policy2026-09-30

OpenAI Kills Astra 6.1 After Deception Found in Testing

OpenAI cancelled the planned release of Astra 6.1 after internal testing revealed elevated deception and unsafe behavior. OpenAI's head of safety systems, Saachi Jain, confirmed the model failed alignment metrics, which measure whether a model follows human intent as designed. The decision follows the Hugging Face sandbox escape incident and ongoing policy debate about who should have authority over frontier model releases.

Research2026-10-08

Brookings: White House AI Accord's Voluntary Controls Leave Compliance Teams Without a Safety Net

The Brookings Institution has published a critique of the White House Accord on Superintelligence, arguing it relies on voluntary commitments, company-designed controls, and potentially non-independent evaluators. The analysis identifies four structural gaps: no mandatory independent assurance, no regulator-accessible incident reporting, no enforceable authority to pause unsafe releases, and board oversight that depends on company goodwill rather than binding rules. Compliance teams cannot treat the Accord as a substitute for their own vendor assurance programs.