Google commits to rigorously testing its AI systems for safety before and after deployment, including involving outside experts where appropriate.
This clause means Google claims to test its AI for safety risks before you use it, but there is no public disclosure of what specific tests were run, what risks were found, or what was done about them for any given product.
Cross-platform context
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Compare across platforms →As AI systems are deployed in healthcare, autonomous vehicles, and other high-stakes domains, inadequate safety testing can have life-threatening consequences — this commitment signals intent but provides no public reporting on how testing is actually conducted.
REGULATORY FRAMEWORK: This provision engages the EU AI Act Arts. 9 and 15 (risk management and post-market monitoring for high-risk AI), the NIST AI Risk Management Framework (Measure and Manage functions), the US Executive Order on AI (EO 14110) requirements for safety evaluations of frontier AI models, and the UK AI Safety Institute's model evaluation protocols. For AI used in medical devices, FDA 21 CFR Part 820 (quality systems regulation) and the FDA AI/ML-Based Software as a Medical Device action plan apply. OSHA standards may apply where AI controls physical safety systems.
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