Responsible Use of AI
Our commitment to safe, ethical, and responsible AI practices
Last updated: January 2026
Our Commitment
At indi, we recognize the profound responsibility that comes with developing AI-powered tools. Children deserve the highest standards of care, privacy, and protection. This policy outlines our commitment to implementing AI technologies that enhance, never replace, human judgment in supporting families through their journey.
Core Principles
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.
- Encryption in transit and at rest 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
- Ongoing security reviews and risk assessments, with penetration testing planned as the platform matures
3Human Oversight
AI should support, not replace, human decision-making. Parents/caregivers and clinicians must retain ultimate responsibility for care decisions, with clear mechanisms to override or challenge AI outputs.
Data used to improve AI systems is handled separately from individual care contexts and does not replace professional judgment or accountability.
- 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. We aim to minimise data used for model improvement and prioritise safety testing over capability gains.
- Real-world performance monitoring
- Regular model updates and improvements
- Adverse event tracking and analysis
- Continuous learning and adaptation
- Model improvement uses de-identified or aggregated data only, with opt-out controls (see Privacy Policy for details) and additional safeguards for children's information
5Regulatory Compliance
We monitor and align our practices with 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
Implementation in Practice
Design to Deployment
These principles are embedded into our SaaS product's entire lifecycle from initial design through deployment and ongoing maintenance:
Design Phase
- • Ethical review considerations incorporated into the design and evaluation of AI features
- • Child-centered design principles
- • Privacy-by-design implementation
Development Phase
- • Monitoring for potential bias and unintended impacts, with mitigation incorporated as risks are identified
- • Security-first development
- • Transparent AI feature design (clear disclosures, limitations, and user controls)
Testing Phase
- • Safety and efficacy testing
- • User experience validation
Deployment Phase
- • Continuous monitoring setup
- • Feedback collection systems
- • Performance tracking
Accountability and Contact
Questions or Concerns?
We welcome questions, feedback, and concerns about our AI practices. Transparency and community input are essential to maintaining the highest standards for our users.
AI Ethics Committee: support@projectindi.com
Privacy Officer: privacy@projectindi.com
General Inquiries: support@projectindi.com
Policy Updates
This policy is reviewed and updated regularly to reflect advances in AI technology, changes in regulations, and evolving best practice. Material changes will be communicated to users with appropriate notice.
Version: 1.2
Effective Date: March 2026
Next Review: July 2026