Privacy and Security Measures

• Personal Custody: Data are held on the user's own robot unless the user decides to share it.

• Federated Learning: Apply federated learning to allow AI models to train on data locally without transferring raw data.

• Data Encryption: End-to-end encryption to secure data during transmission and storage on decentralized nodes.

• Access Controls: Role-based access controls to ensure only authorized personnel can access sensitive data.

• Data Anonymization: We have special techniques to anonymize data, ensuring that individual identities cannot be traced—for example, built-in local algorithms that blur out faces.

• Consent Management: Ensure that users have full control over their data with clear consent mechanisms and the ability to revoke access.