Gemini might soon have access to your Google Search history - if ...
Recent reports suggest that Google is developing Gemini Personalization, an AI model that could allow users to share their search history with Gemini for more personalized search results. This new feature could potentially make Gemini the most personal AI chatbot yet, as it would gather information about users without them having to explicitly provide it.
Gemini Personalization and Privacy Concerns
While this feature has not been officially confirmed by Google, leaked information accessed by Android Authority from the latest Google app (version 16.8.31) indicates that Gemini Personalization will tap into users' search history. The model assures that chats within it will not be used to enhance Gemini, will not be stored externally, and will be removed from the activity log after 60 days.
Enabling Gemini Personalization
Users interested in utilizing Gemini Personalization will need to grant permission for Gemini to access their search history and activate 'Web & App Activity' in their Google account settings. Once this is set up, users can ask Gemini about their previous searches or seek information based on their search history.
Utilizing Gemini's Potential
Queries to Gemini can range from recalling past search queries to seeking personalized recommendations based on search history. For instance, users can ask Gemini to suggest restaurants or tourist sites based on their previous searches. The AI assistant can leverage historical data to provide tailored responses and suggestions.
The Extent of Access
It remains uncertain how far back into a user's search history Gemini will be able to delve. Android Authority's findings suggest that Gemini could reference several months of history, potentially extending back to January. Whether this limitation will persist in the final version or is specific to the testing phase is yet to be determined.
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The ability of Gemini Personalization to access search history predating its activation is a significant development. If the feature can eventually access a user's entire search history, it could significantly enhance the user experience and customization possibilities.
