US government to test AI models from tech firms before release
The US government has reached agreements with Google, Microsoft, and xAI to review their AI models prior to public release. This initiative aims to address potential security risks associated with these technologies. (sources: washingtonpost, theguardian, bbc, aljazeera, forbes)
Federal officials will conduct safety tests on AI models from Google, Microsoft, and xAI. The agreements focus on assessing risks related to cybersecurity and biosecurity.
- The US government will test AI models from Google, Microsoft, and xAI before their release.
- The agreements aim to identify risks related to cybersecurity, biosecurity, and chemical weapons.
- These deals build on previous agreements made during the Biden administration.
Why it matters
This initiative reflects ongoing efforts to ensure the safety and security of emerging AI technologies.
↓ Why this is on ModernAction
2 bills on this issue are moving right now — and the most active one is Artificial Intelligence Risk Evaluation Act of 2025.
S2938 · 119th Congress
Artificial Intelligence Risk Evaluation Act of 2025
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What S2938 actually does
This story is about the US government agreeing to review AI models from tech firms before public release to check security risks. This bill would create a federal program to test and evaluate advanced AI systems and bar deployment unless developers comply with testing rules.
If passed, it would:
- Establish a federal program for standardized testing of advanced AI • Prohibit deployment in interstate/foreign commerce without compliance, with daily fines.
1 other bill moving on this issue
Take action on any of them individually.
This story is about US government secures early access to AI models for review. This bill would stand up federal testbeds/pilots to evaluate AI systems and develop measurement standards.
If passed, it would
- Stand up federal testbeds/pilots to evaluate AI systems and develop measurement standards • Create a process to review test results with government, private-sector, and academic stakeholders.
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