Responsible AI use and transparency

Principles

Guiding principles

• Human oversight and control: users can override or stop automation.
• Technical safety: the system is tested, logged, and verified before deployment.
• Privacy and minimization: we collect only data necessary for operation.
• Transparency: we inform when AI is used in communication or automation.
• Non-discrimination: monitoring to detect and correct bias and distortions.
• Accountability and audit trail: events and changes are logged for later review.

Transparency

How AI appears to users

• Hello AI notifies users when a message or call is AI-generated or processed.
• Automated decisions (e.g., call routing) are explained to users upon request.
• We aim to briefly explain what information the model bases its suggestions or decisions on.

Data use

What data AI uses

• Call and message metadata (timestamp, direction, technical status) for operation verification.
• Transcripts from calls may be temporarily processed for automated response or contact requests.
• Identity information (such as phone number) is needed to connect the right contact and prevent misuse.
• Model development primarily uses synthetic or anonymized data.

Safeguards

Risk management and monitoring

• Regular security audits and penetration testing.
• Continuous monitoring of AI behavior and outputs.
• Incident response procedures for security or bias issues.
• Regular updates and improvements based on feedback and new research.

Contact

Inquiries and complaints