AI Training Practices
Training on Personal Data
Unclear
Training on User Interactions
Unclear
Training on Public Content
Unclear
AI Data Sharing
Unclear
AI Use Cases
- Personalization — To personalize user's experience and to deliver content and product offerings in which the user is most interested.
- Content Processing — To deliver specific types of content and product offerings based on user interest.
Risk Assessment
Webixels' privacy policy presents a significant contradiction regarding third-party data sharing, stating they generally do not share data while simultaneously listing third-party advertisers and service providers. This lack of transparency, coupled with an extremely low deterministic score (0/70), indicates potentially misleading practices and a high risk to user privacy. The absence of CCPA support further limits rights for California residents.
Recommended Actions
- Carefully review the full privacy policy for specific details on data sharing, as the summary contradicts the listed partners.
- Exercise extreme caution when providing personal data, especially if you are a California resident, as CCPA rights are not supported.
- Consider using a disposable email or minimal information if you choose to interact with the service, given the transparency issues and low privacy score.
AI Overview
Trains on user dataNo
Trains on interactionsNo
Opt-out availableNo
AI disclosureYes
Third-party AINo
AI Training Opt-Out
No opt-out mechanism available.