AI Training Practices
Training on Personal Data
Yes
Training on User Interactions
Yes
Training on Public Content
Yes
AI Data Sharing
No
AI Use Cases
- Recommendation — Recommending Pins, boards, or content based on user activity and interests.
- Personalization — Personalizing content and ads shown to the user based on their interests and activity.
- Content Processing — Allowing visual search by identifying similar items from photos and categorizing images into body types.
- Fraud Detection — Detecting spam, suspicious behavior, and violations of terms and policies.
- Moderation — Reviewing user activity and messages to detect spam or risky activity.
- Automated Decision Making — Conducting age verification, which may involve facial age estimation and matching against a government ID.
- Other — Supporting features with generative artificial intelligence technology, including enabling advertisers to add limited content to ads.
Risk Assessment
Pinterest engages in extensive data collection, including off-site activity from partners, primarily for targeted advertising. The critical concern is the extremely low deterministic score of 0/70, which strongly indicates fundamental privacy issues despite a comprehensive policy. Additionally, the lack of CCPA support for a major US platform is a significant drawback.
Recommended Actions
- Carefully review and adjust your Pinterest privacy settings to limit data sharing and ad personalization.
- Consider the necessity of using the service given the extensive data collection and the very low privacy score.
- Be cautious about linking your Pinterest account with other services, as this can lead to further data sharing.
- Utilize browser privacy extensions to block trackers when browsing Pinterest or other sites.
AI Overview
Trains on user dataYes
Trains on interactionsYes
Opt-out availableNo
AI disclosureYes
Third-party AINo
AI Training Opt-Out
No opt-out mechanism available.