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Anthropic's framework for increasing AI capabilities only when we have the safety measures to match. It ties the development of more powerful models to demonstrated progress on safety.
When AI builds itself
Our progress toward recursive self-improvement, and its implications.
Anthropic’s Responsible Scaling Policy: Version 3.0
An update to Anthropic's policy to mitigate catastrophic risks from AI
Sharing our compliance framework for California's Transparency in Frontier AI Act
Anthropic's Frontier Compliance Framework discloses how we assess and manage catastrophic AI risks under California's Transparency in Frontier AI Act.
Introducing Claude Haiku 4.5
Claude Haiku 4.5, our latest small model, is available today to all users.
Anthropic is endorsing SB 53
Anthropic is endorsing SB 53, the California bill that governs powerful AI systems built by frontier AI developers like Anthropic.
Why do we take LLMs seriously as a potential source of biorisk?
This article explains why we believe that evaluating biorisks and safeguarding against them is a critical element of responsible AI development.
Anthropic to sign the EU Code of Practice
Anthropic will sign the EU's General-Purpose AI Code of Practice, which aligns with our transparency, safety, and accountability commitments.
The need for transparency in Frontier AI
A targeted approach to increasing transparency in frontier AI development, focusing on safety standards and accountability measures for advanced AI systems.
Activating AI Safety Level 3 protections
We've activated ASL-3 Deployment and Security Standards from our Responsible Scaling Policy alongside the launch of Claude Opus 4.
Testing our safety defenses with a new bug bounty program
A new bug bounty program with HackerOne challenges red-teamers to find universal jailbreaks in safety classifiers we haven't yet deployed.
Anthropic’s response to Governor Newsom’s AI working group draft report
Anthropic supports California's draft report and calls for frontier labs to publicly disclose their safety and security protocols.
Constitutional Classifiers: Defending against universal jailbreaks
A paper from Anthropic describing a new way to guard LLMs against jailbreaking.
The case for targeted regulation
Powerful AI brings remarkable capabilities and significant risks. Governments should urgently take action on AI policy in the next eighteen months.
Developing a computer use model
Developing a computer use model
Sabotage evaluations for frontier models
A new paper on AI safety evaluations from Anthropic's Alignment Science team
Announcing our updated Responsible Scaling Policy
A significant update to our Responsible Scaling Policy, the risk governance framework we use to mitigate catastrophic risks from frontier AI.
A new initiative for developing third-party model evaluations
A new initiative to fund evaluations developed by third-party organizations that can effectively measure advanced AI capabilities.
Expanding access to Claude for government
Claude 3 Haiku and Sonnet are now available in the AWS Marketplace for the US Intelligence Community and in AWS GovCloud.
Reflections on our Responsible Scaling Policy
Lessons from implementing our first Responsible Scaling Policy, which focuses on catastrophic safety failures and misuse of frontier models.
Third-party testing as a key ingredient of AI policy