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The policy states that Google uses publicly available information to train its AI models, including those underlying Google Translate, Gemini Apps, and Cloud AI capabilities, as part of its research and development purposes.
This analysis describes what YouTube Ads'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 provision discloses that publicly accessible data is collected and used for AI model training across Google's AI product portfolio; organizations and individuals whose publicly available content may be indexed or collected by Google should be aware that this data use is disclosed as a stated purpose under the policy.
The updated policy makes several material clarifications about how Google links your activity across websites and apps. It shifts from describing analytics tools in isolation to framing them as part of a broader 'ad and analytics services' ecosystem, and broadens the scope of data linking to explicitly include 'cookies and other technologies'. The policy also clarifies that data sharing occurs even in private browsing modes. Review your Google Account activity controls to understand what data is being collected and linked across services you use.
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"For example, we use publicly available information to help train Google's AI models and build products and features like Google Translate, Gemini Apps, and Cloud AI capabilities.Excerpt from YouTube Ads's Google Privacy Policy
1. REGULATORY LANDSCAPE: This provision engages emerging regulatory frameworks governing AI training data, including the EU AI Act, which imposes transparency and data governance requirements on high-risk and general-purpose AI models. Copyright and database right frameworks in the EU and UK may also apply to large-scale collection of publicly available content for AI training. The FTC has signaled interest in AI data practices under its unfair or deceptive practices authority. Specific regulatory guidance on AI training data obligations remains evolving across jurisdictions. 2. GOVERNANCE EXPOSURE: Medium. The use of publicly available data for AI training is a broadly disclosed industry practice; however, the specific disclosure of Gemini Apps and Cloud AI as products trained on such data creates surface area for regulatory scrutiny under the EU AI Act and emerging national AI governance frameworks. The policy does not describe a user-facing mechanism to object to or opt out of AI training uses of publicly available content, which may be evaluated differently across jurisdictions. 3. JURISDICTION FLAGS: EU and EEA jurisdictions are subject to the EU AI Act and applicable GDPR provisions on automated decision-making and data processing for AI purposes. UK AI governance frameworks are developing separately post-Brexit. Jurisdictions with active copyright litigation regarding AI training data, including the US and EU, may create additional legal exposure that is distinct from privacy regulation but operationally connected to this provision. 4. CONTRACT AND VENDOR IMPLICATIONS: Organizations whose content appears in publicly accessible sources indexed by Google should evaluate whether this AI training use affects their intellectual property or data governance positions. Google Cloud customers using Gemini or Cloud AI capabilities should review whether their data is separately subject to AI training uses under the Google Cloud Privacy Notice, which is identified in this policy as a separate document. 5. COMPLIANCE CONSIDERATIONS: Compliance and legal teams should monitor EU AI Act implementation guidance and national regulatory positions on AI training data obligations as they develop. Organizations with content licensing strategies should assess whether publicly available content is subject to this provision and whether contractual protections are available. Data governance programs should document this use as a disclosed purpose under the policy for records management purposes.
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This provision discloses that publicly accessible data is collected and used for AI model training across Google's AI product portfolio; organizations and individuals whose publicly available content may be indexed or collected by Google should be aware that this data use is disclosed as a stated purpose under the policy.
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