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On 24 February 2026 Anthropic published version 3.0 of its Responsible Scaling Policy, a comprehensive rewrite that separates the company's own commitments from an industry-wide map linking model capabilities to mitigations.
On 22 January 2026 Anthropic published a new constitution for Claude. It explains the reasoning behind desired behaviour, ranks Claude's priorities, and is released under a CC0 1.0 licence.
The European Commission published the final General-Purpose AI Code of Practice, a voluntary tool to help providers comply with AI Act rules that apply from August 2025. It covers transparency, copyright, safety and security.
On 22 May 2025 Anthropic switched on its AI Safety Level 3 deployment and security protections alongside the launch of Claude Opus 4, a precautionary and provisional step it said was prompted by continuing gains in chemical, biological, radiological and nuclear knowledge and capabilities.
On 15 October 2024 Anthropic published version 2.0 of its Responsible Scaling Policy. It added capability thresholds for autonomous AI research and development and for chemical, biological, radiological and nuclear (CBRN) weapons assistance, and made Jared Kaplan the Responsible Scaling Officer.
On 17 May 2024 Google DeepMind published a framework of protocols for identifying AI capabilities that could cause severe harm, evaluating models against defined Critical Capability Levels, and applying mitigations when a model reaches them.
A beta document published by OpenAI in December 2023 that sets out processes to track, evaluate, forecast and protect against catastrophic risks from powerful models, rating models low to critical and barring deployment above medium.
On 19 September 2023 Anthropic published its Responsible Scaling Policy, a set of protocols for managing catastrophic risks from increasingly capable AI, and described the Long-Term Benefit Trust that oversees changes to it.
An industry body formed on 26 July 2023 by Anthropic, Google, Microsoft and OpenAI to work on the safe and responsible development of frontier AI models, defined as large-scale models that exceed the capabilities of the most advanced existing models.
