Users should be able to understand whether AI processing is limited to requested product features or whether any content is used for broader model training.
- Training on user content: this should be clearly disclosed in plain language.
- Opt-in expectations: if training is ever allowed, it should be explicit, specific, and revocable where possible.
- Feature-bound processing: where no training occurs, AI use should remain limited to user-requested functionality.
If semantic search or embeddings are used, related storage and protection measures should be documented on the appropriate policy or security page.