With the explosive development of artificial intelligence worldwide, the regulation of large AI models is shifting from initial principled declarations to substantive implementation. Governments of multiple countries, including the UK, the US, and Australia, have recently introduced new measures requiring cutting-edge AI models to pass government-led security vulnerability and risk boundary tests before officially launching.

The UK Model Becomes a Global Policy Blueprint

In this regulatory transformation, the red team testing and risk assessment process proposed by the UK AI Safety Institute (AISI) has become a reference model for countries around the world. Recently, the UK government announced an official collaboration with the Australian AI Safety Institute, aiming to jointly monitor potential risks of cutting-edge AI in the fields of cyber attacks and defense, and share core capability insights.

This new regulatory model has completely changed the previous passive situation that relied only on companies' voluntary commitments, directly involving government power in the model testing process. In the future, AI large models will have to go through this compliance process similar to "pre-launch safety inspection" while facing market competition, and safety testing capabilities are gradually becoming an essential part of product competitiveness.

American Giants Sign Up for National Assessments

Meanwhile, the AI Standards and Innovation Center (CAISI) under the U.S. Department of Commerce is also accelerating the promotion of similar national security evaluation mechanisms. Currently, several leading AI companies, including Google DeepMind, Microsoft, and xAI, founded by Elon Musk, have reached key agreements with the center, committing to submit relevant materials and undergo in-depth security assessments before releasing their models publicly.

During this period, Microsoft also clearly stated that it would further deepen its cooperation with U.S. and UK testing institutions to jointly reduce the large-scale public safety risks caused by cutting-edge models. A series of intensive international collaborations send a clear signal: future AI regulation will no longer just ask whether companies have written down safety commitments, but rather focus more on whether someone has actually tested them.