Responsible Use of AI

1Robust Governance and Oversight

We maintain clear policies and governance structures to oversee AI implementation, ensuring ongoing monitoring and accountability. Insufficient governance is a leading safety concern, especially in high-risk settings.

2Privacy and Data Security

Given the sensitivity of user data, we implement stringent privacy protections and cybersecurity measures to prevent breaches and misuse.

• End-to-end encryption for all sensitive data
• Minimal data collection and processing: we collect only what's necessary to deliver our services effectively
• Secure data storage and transmission
• Regular security audits and penetration testing

3Human Oversight

AI should support, not replace, clinical decision-making. Clinicians must retain ultimate responsibility for care decisions, with clear mechanisms to override or challenge AI outputs.

• Human-in-the-loop decision making
• Clear override mechanisms for AI recommendations
• Professional judgment always takes precedence
• Training and support for healthcare professionals

4Continuous Validation and Monitoring

We regularly validate AI performance in real-world settings, updating models as new data emerges and monitoring for unintended consequences.

• Real-world performance monitoring
• Regular model updates and improvements
• Adverse event tracking and analysis
• Continuous learning and adaptation

5Regulatory Compliance

We adhere to evolving regulations and standards for AI in healthcare, including any specific requirements for applications and SaaS platforms.

• Privacy law adherence
• International data protection standards
• Industry best practice implementation