This analysis describes what Google's agreement states, permits, or reserves. It does not constitute a legal determination about enforceability. Regulatory applicability and practical outcomes may vary by jurisdiction, enforcement context, and individual circumstances. Read our methodology
This establishes that Google's risk identification is both multi-method and continuous across launch stages, and that findings have a defined downstream effect on policies and frameworks.
Google represents that its AI policies and frameworks are informed by ongoing risk assessment using research, expert input, and both pre- and post-launch testing.
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This includes the use of automated, dynamic vetting and scoring analysis tools to identify and take action, as well as human review to supplement our automated abuse prevention.
Gemini Apps may activate when you didn't intend them to, for example, if there's a noise that sounds like "Hey Google"...If Gemini Apps respond, they will treat your input like a normal activation.
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"We identify and assess AI risks through research, expert input, and comprehensive pre- and post-launch testing—which inform our policies and frameworks.Excerpt from Google's AI Principles
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This establishes that Google's risk identification is both multi-method and continuous across launch stages, and that findings have a defined downstream effect on policies and frameworks.
Google represents that its AI policies and frameworks are informed by ongoing risk assessment using research, expert input, and both pre- and post-launch testing.
ConductAtlas has identified this type of provision across 217 platforms. See the full comparison.
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