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
This provision establishes the operational basis for Google's use of user interaction data in AI model development and product improvement. The scope encompasses both consumer and enterprise product development, creating a direct link between user conversations and Google's machine-learning infrastructure.
The updated privacy notice establishes that Google collects data from third-party services you connect to Gemini, including Model Context Protocol server tools, and that such connections are not monitored or secured by Google. The notice explicitly states that choosing to connect third-party apps may expose your data, passwords, devices, and accounts to unauthorized access. The revised terms also clarify that you can use temporary chats, which are not retained for AI improvement purposes with human reviewer assistance. You can manage connected app permissions through Gemini Spark settings.
View change record →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 →Under this clause, conversation data is retained and processed for purposes beyond immediate service delivery, including training and improving machine-learning systems. Users operating under these terms authorize Google to incorporate their conversation data into development cycles for multiple product categories.
How other platforms handle this
Only models with a post-mitigation score of "medium" or below can be deployed. Only models with a post-mitigation score of "high" or below can be developed further.
engage in any of the foregoing in connection with any use, creation, development, modification, prompting, fine-tuning, training, testing, benchmarking or validation of any artificial intelligence or machine learning tool, model, system, algorithm, product or other technology ("AI Tool").
We are simplifying our Terms of Use, including clarifications around the use of AI tools, and their data use. We have moved the terms that describe AI Features, which were previously written for a Creator audience and located under the AI-Based Tools Supplemental Terms and Disclaimer, into the User ...
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"Google uses this data to provide, improve, and develop Google products, services, and machine-learning technologies, including Google's enterprise products.— Excerpt from Google Gemini's Gemini Apps Privacy Notice
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How 10 AI platforms describe the use of user data for model training, improvement, and development, based on archived governance provisions.
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This provision establishes the operational basis for Google's use of user interaction data in AI model development and product improvement. The scope encompasses both consumer and enterprise product development, creating a direct link between user conversations and Google's machine-learning infrastructure.
Under this clause, conversation data is retained and processed for purposes beyond immediate service delivery, including training and improving machine-learning systems. Users operating under these terms authorize Google to incorporate their conversation data into development cycles for multiple product categories.
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