There is no universal yes-or-no answer: privacy depends on the particular book app, the recommendation feature, and its data settings. Before sharing reading history, searches, notes, or a personal prompt, check what information the service sends, whether it reaches another AI provider, whether it is used to improve models, how long it is retained, and whether you can delete it.
What information can an AI book recommender reveal?
A recommendation request may include more than the book title you typed. Depending on the service, it could also involve your prompt, ratings, reading history, notes, account identifiers, or uploaded text. Reading choices and questions can reveal interests or sensitive topics, even when they do not include a name.
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The American Library Association (ALA) cautions libraries against entering borrowing histories, reading histories, reference interactions, account information, or identifiable prompts into AI systems that have not been approved. Its AI guidance also calls for review of prompts, searches, account activity, storage, subprocessors, model-training use, retention, deletion, and audit or exit rights.
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How to check a book app’s privacy practices
Review the current privacy policy and the controls for the specific feature you plan to use. A general policy may not describe every data flow in a recommendation tool, chat feature, or upload function.
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- Request contents: Does the feature receive only a title, or also your prompt, reading history, ratings, notes, account identifiers, or uploaded text?
- Sharing: Does the service send information to an external AI provider, hosting provider, analytics vendor, or other subprocessor?
- Model improvement: Does it use prompts, uploads, or other user data to train or improve models? Can you or your institution opt out?
- Storage and retention: What is kept, for how long, and in what form? Check for retained prompts and responses, logs, caches, backups, and account-linked preferences.
- Deletion and export: Can you remove prompts, history, profile information, or account data? Look for stated exceptions and delays for backups.
- Account and personalization: Can the feature work without a personal account, or can personalization be switched off?
- Other ways to find books: Is there a human reference option, known-item search, or subject browsing route?
These are review questions drawn from ALA guidance, not assumptions about how every app works. The ALA privacy guidelines also advise minimizing personal information and considering third-party collection when websites or discovery systems offer features such as ratings, comments, or recommendations.
What different book services say about their data
The following are examples of provider policy statements, not independent security audits or guarantees. Policies and features can change, so check the current policy before relying on them.
| Service and policy date | What the policy says | What to bear in mind |
|---|---|---|
| Passage; effective July 11, 2026 | For AI book chat, character lookup, and recommendations, a question and limited book context go to Passage’s backend and are forwarded to OpenAI. Passage says questions and responses are processed in transit and not persistently stored on its servers. Passage privacy policy | This is Passage’s statement about its own handling. Check the current policy and the AI provider’s terms as well. |
| MyBibliotheca | The policy says its “The Librarian” AI assistant has been retired. Its separate “Suggest 3” feature sends limited book context to a private recommendation service. The stated payload excludes the user’s name, username, email, account identifier, password, private library notes, reading-session notes, and device information; recommendations may be cached for up to 24 hours. MyBibliotheca privacy policy | The retired assistant and the separate recommendation feature have different data practices. |
| Ask This Book; policy last updated May 2026 | The policy says private uploads are encrypted at rest and are not used to train foundation AI models. It describes conversations and optional memory as account-linked, and says users can export or delete data. Ask This Book privacy policy | These are statements in the provider’s policy, not independent technical verification. |
| BookWard.ai | The policy describes library content, ratings, tags, notes, reading preferences, settings, and AI-written content as data associated with the service; it says information is used for purposes including maintaining a library and generating recommendations. BookWard.ai privacy policy | Read the current policy for the exact controls and retention terms. |
These examples illustrate why a service name alone is not enough: one feature may forward a prompt to an external model, another may use a private recommender, and another may link conversations to an account.
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What should libraries and schools require?
For an institutional setting, a privacy policy alone is not a substitute for documented privacy and security review. ALA recommends assessing collection, retention, vendor access, staff use, user notice, incident response, and changes to the system. Approval should define a purpose, minimize data, set retention limits, restrict vendor use of data for model training, and include staff guidance and public notice.
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ALA’s guidance says that when a library cannot determine how an AI system collects, stores, retains, shares, deletes, or uses data, it should delay, limit, refuse, or discontinue that use. Its AI guidance also recommends human oversight, clear user-facing documentation, and transparent discovery routes that do not depend on personalization. Readers should be able to use options such as known-item search or subject browsing and reach a librarian or other qualified person.
The ALA Code of Ethics states: “We protect each library user’s right to privacy and confidentiality with respect to information sought or received and resources consulted, borrowed, acquired, or transmitted.”
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