AI Training Practices
Training on Personal Data
Yes
Training on User Interactions
Yes
Training on Public Content
Unclear
AI Data Sharing
Unclear
AI Use Cases
- Fraud Detection — Detecting fraud and preventing financial losses for users, Stripe, Business Users, and Financial Partners, including assessing fraud risk for transactions.
- Other — Identity verification using biometric technology to compare selfies with identity documents.
- Content Processing — Analyzing call recordings and chat transcripts for quality assurance, training, and operational purposes.
- Other — Analyzing and drawing inferences from Transaction Data to reduce costs, fraud, and disputes and increase authentication and authorization rates.
Risk Assessment
Stripe collects highly sensitive data, including identity documents and transaction history, and shares it with various third parties, including advertising partners. The extremely low deterministic score (0/70) suggests significant underlying privacy deficiencies, potentially in transparency, data minimization, or user control, making it a high-risk service for personal data.
Recommended Actions
- Exercise extreme caution when providing sensitive identity documents to Stripe.
- Carefully review your privacy settings within Stripe's Privacy Center and any linked services to understand data sharing.
- Consider alternative payment processors if you have concerns about extensive data collection and sharing with advertising partners.
- Regularly check for updates to Stripe's privacy policy and any changes to their data sharing practices.
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.