Anthropic policy recap: US Executive Order, G7 Code of Conduct, and Bletchley Park AI Safety Summit
Anthropic published a policy commentary summarizing three major AI governance events from late October/early November 2023: the US Executive Order on AI, the G7 International Code of Conduct for advanced AI developers, and the UK-hosted Bletchley Park AI Safety Summit. The post covers Anthropic's positions on each, including support for NIST capacity-building, the G7 Code of Conduct, and the newly announced UK and US AI Safety Institutes. Dario Amodei presented Anthropic's Responsible Scaling Policy at Bletchley as a potential regulatory prototype, and the 28-country Bletchley Declaration notably included China among its signatories.
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Anthropic Responds to White House AI Action Plan, Calls for Transparency Standards and Export Controls
Anthropic published a policy response to the White House's 'Winning the Race: America's AI Action Plan,' endorsing its focus on AI infrastructure, federal adoption, and safety research while urging additional steps on export controls and mandatory AI development transparency standards. The company highlighted alignment between the plan and its prior OSTP submissions, and noted its proactive activation of ASL-3 protections with Claude Opus 4 as evidence that safety and innovation are compatible. Anthropic called for a single national standard for frontier model transparency rather than a state-by-state patchwork, and encouraged continued investment in NIST's CAISI for evaluating frontier models on national security risks including CBRN capabilities.
Dario Amodei calls for stronger AI safety focus at Paris AI Action Summit
Anthropic CEO Dario Amodei issued a statement following the Paris AI Action Summit, expressing concern that the event underweighted critical issues including democratic leadership in AI, CBRN and autonomous-risk governance, and labor market disruption. Amodei forecasts that by 2026-2027 AI capabilities may be equivalent to 'a country of geniuses in a datacenter,' framing this as both an opportunity and an urgent governance challenge. He called for governments to enforce transparency of frontier lab safety plans, fund third-party evaluations, and monitor economic impacts—pointing to Anthropic's newly released Economic Index as a model. The statement also reaffirmed Anthropic's Responsible Scaling Policy as the first of its kind among frontier labs.
Anthropic commits to signing the EU General-Purpose AI Code of Practice
Anthropic announced its intention to sign the EU's General-Purpose AI Code of Practice, citing alignment with its existing Responsible Scaling Policy on transparency, safety, and accountability. The company frames the Code's mandatory Safety and Security Frameworks—including CBRN risk assessment—as complementary to its own internal standards. Anthropic also signals continued collaboration with the EU AI Office and third-party bodies like the Frontier Model Forum to keep standards adaptive as the technology evolves.
Dario Amodei's AI Safety Summit remarks detail Anthropic's Responsible Scaling Policy and ASL framework
Dario Amodei delivered prepared remarks at the UK AI Safety Summit (November 2023) explaining Anthropic's Responsible Scaling Policy (RSP), which was the first such policy published by a major AI lab. The RSP introduces AI Safety Levels (ASL-1 through ASL-4), modeled on biosafety level frameworks, with capability thresholds triggering mandatory safeguards before further training or deployment. Key implementation lessons include deep executive involvement, integrating RSP requirements into product roadmaps, and formal accountability through Anthropic's board and Long Term Benefit Trust. The remarks outline specific ASL-3 requirements around CBRN misuse prevention and security, and preview ASL-4 criteria involving near-human autonomy or becoming a primary source of global security threats.
Anthropic publishes policy brief calling for targeted AI regulation within 18 months
Anthropic published a policy position paper arguing that governments have an 18-month window to enact narrowly-targeted AI regulation before risks in cyber and CBRN domains become acute. The post cites rapid capability gains—SWE-bench scores rising from 1.96% to 49% in a year, GPQA scores approaching human expert level—as evidence that frontier models are approaching meaningful misuse thresholds. Anthropic also reviews its Responsible Scaling Policy as a model for adaptive, proportionate risk governance and calls for similar frameworks to be adopted industry-wide and codified in law.
Dario Amodei Statement on Anthropic's Commitment to American AI Leadership and Policy Alignment
Anthropic CEO Dario Amodei published a public statement clarifying the company's policy positions and government relationships amid what he describes as inaccurate claims about Anthropic's stances. The statement highlights Anthropic's federal contracts (including a $200M DoD agreement), support for the Trump administration's AI Action Plan, opposition to a 10-year moratorium on state AI laws, and support for California's SB 53 requiring large AI developers to publish safety protocols. Amodei also addresses claims of model political bias, citing a Manhattan Institute study, and reiterates Anthropic's unique policy of restricting AI service sales to PRC-controlled companies.
Anthropic submits AI accountability recommendations to NTIA, covering evals, red teaming, and pre-registration
Anthropic submitted a formal response to the NTIA's Request for Comment on AI Accountability, outlining a multi-part policy framework for governing advanced AI systems. Key recommendations include increased government funding for evaluation research, mandatory disclosure of evaluation methods, pre-registration of large training runs with national governments, mandated external red teaming before model release, and antitrust guidance to enable industry safety collaboration. The submission reflects Anthropic's core policy positions and advocates for risk-tiered oversight proportional to model capabilities.
Anthropic responds to California Governor Newsom's AI working group draft report
Anthropic published a formal response to the California Governor's Working Group on AI Frontier Models draft report, endorsing its emphasis on transparency and evidence-based policy. Anthropic argues that light-touch mandatory disclosure of safety and security practices would be beneficial without impeding innovation, noting that current voluntary practices are uneven across frontier labs. The response also references Anthropic's Responsible Scaling Policy and Economic Index as examples of existing transparency efforts, and signals urgency given Anthropic's view that powerful AI systems may arrive as early as end of 2026.