Google uses your Gemini conversations and feedback to train and improve its AI products. The notice advises you not to share confidential or sensitive information for this reason.
This analysis describes what Google Gemini'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
The terms authorize Google to use conversation content for AI model training and product improvement, which means information submitted in conversations may inform future AI outputs and training datasets. The policy's advisory against submitting confidential information confirms the operational scope of this use.
The updated notice adds new disclosure sections explaining how data flows when using Gemini Spark (remote browser and computer access), how avatar creation collects and processes information, and clarifies that Google collects information about AI reasoning steps during task execution. The notice also refines language around subscription information to specify 'Google AI plan' rather than just generic 'paid subscription.' These changes do not establish new obligations but rather expand the transparency disclosures provided to users about existing and new features.
View change record →The updated notice now explicitly identifies Memory as a feature that operates on the basis of user consent, alongside Voice Match. The revised language removes prior geographic restrictions on personalization, meaning Gemini can now reference chat history to generate personalized insights for all users globally, not just those outside the EEA, Switzerland, and the UK. The removal of the statement 'Keep Activity must be on to use this feature' simplifies the operational requirement but does not establish a new obligation. You can learn how to turn the Memory feature on or off through the updated privacy notice.
View change record →The updated privacy notice now discloses that Gemini can use data from connected Google apps and imported memory or chats from other AI platforms to personalize your experience and to improve services, including training generative AI models. This data is treated similarly to other Gemini activity. You can manage or delete your imported activity anytime through the Activity controls.
View change record →Content you submit in Gemini conversations may be used to train Google's AI systems, meaning personal details, questions, and context shared with the assistant may contribute to AI model development. The notice explicitly advises against submitting confidential or sensitive information.
How other platforms handle this
We use information to enhance the quality, reliability, and/or accuracy of our AI Features by creating, developing, training, testing, improving, and maintaining AI and ML models run by Strava or our service providers. We use aggregated, de-identified data for this purpose. We also use personal info...
At Ledger, earning and maintaining our users' trust is a top priority. That's why we are deeply committed not only to protecting your privacy and securing your personal data, but also to being fully transparent about how we handle it.
If you are located in the European Economic Area, Switzerland, or the United Kingdom, you have the right to access, correct, or erase your personal data; the right to restrict or object to our processing of your personal data; the right to data portability; and, where our processing is based on your...
Monitoring
Google Gemini has changed this document before.
Receive same-day alerts, structured change summaries, and monitoring for up to 25 platforms.
"Your conversations and any related feedback you provide help us improve Google products and services, including Gemini apps. Please don't submit confidential information or information you wouldn't want reviewed or used for these purposes.— Excerpt from Google Gemini's Gemini Apps Privacy Notice
REGULATORY LANDSCAPE: AI training use of personal data implicates GDPR Article 6 (lawful basis), Article 5(1)(b) (purpose compatibility), and may engage the EU AI Act's requirements for general-purpose AI model training, including copyright and data sourcing obligations. The Irish Data Protection Commission and EU AI Office are relevant authorities. For California users, CPRA provisions regarding use of sensitive personal information for secondary purposes may apply. GOVERNANCE EXPOSURE: High. Using user-submitted personal data for AI model training constitutes secondary processing that may require a separate lawful basis under GDPR, and the compatibility of this secondary purpose with the original service provision purpose requires documented assessment. Organizations allowing employee use of Gemini should consider whether employee conversation data being used for AI training creates employment law or data protection obligations. JURISDICTION FLAGS: EU/EEA users have the strongest legal basis to challenge secondary AI training use of their personal data. Illinois BIPA may be relevant if biometric-adjacent data is incidentally processed. California CPRA provides opt-out rights for certain secondary uses of sensitive personal information. CONTRACT AND VENDOR IMPLICATIONS: Enterprise customers should verify whether Google's business agreements exclude conversation data from AI training use, as some enterprise terms provide different defaults than consumer terms. This distinction is material for due diligence and vendor risk assessments. COMPLIANCE CONSIDERATIONS: Privacy impact assessments should address AI training as a secondary processing purpose. Consent or legitimate interest assessments may be required under GDPR. Organizations should evaluate whether employee acceptable use policies address the AI training use of conversations submitted through Gemini.
Full compliance analysis
Regulatory citations, enforcement risk, and due diligence action items.
Free: track 1 platform + weekly digest. Monitor: 25 platforms + same-day alerts. No credit card required.
Ad personalization controls removed. Contact scanning added. Advertiser data partnerships quietly dropped. A timeline of every change.
Compliance Governance Intelligence
Need to monitor specific governance provisions?
Compliance includes provision-level monitoring, governance timelines, regulatory mapping, and audit-ready analysis.
Built from archived source documents, structured governance mappings, and historical version tracking.
The terms authorize Google to use conversation content for AI model training and product improvement, which means information submitted in conversations may inform future AI outputs and training datasets. The policy's advisory against submitting confidential information confirms the operational scope of this use.
Content you submit in Gemini conversations may be used to train Google's AI systems, meaning personal details, questions, and context shared with the assistant may contribute to AI model development. The notice explicitly advises against submitting confidential or sensitive information.
No. ConductAtlas is an independent monitoring service. We are not affiliated with, endorsed by, or sponsored by Google Gemini.