1. Privacy and Data Protection Our commitment to user privacy includes: * End-to-end encryption of all personal photos and assessment data * An option to use AI-generated images instead of personal photos * HIPAA compliance for all healthcare-related data * Clear user consent processes for data collection and use * Data minimization principles in AI model training
2. Fairness and Inclusion We ensure our AI system: * Generates culturally appropriate and inclusive content * Undergoes regular bias testing across diverse demographics * Adapts to different cultural contexts and preferences * Provides equal quality of service regardless of user background
3. Transparency and Control Users have: * Clear information about how AI is used in assessments * Access to their own data and assessment results * Control over their privacy settings and data sharing * Right to delete their data at any time
4. Clinical Validity and Safety Our AI implementation ensures: * Regular validation of assessment accuracy through clinical trials * Clear communication of AI limitations to users and healthcare providers * Human oversight of AI-generated content and assessments * Regular auditing of system performance and safety
5. Research Ethics and Data Use For research purposes: * Anonymous data aggregation for research with explicit consent * Ethical guidelines for AI model training and improvement * Collaboration with clinical experts for validation * Transparent reporting of research findings
6. Continuous Improvement We maintain: * Regular reviews of AI model performance and fairness * Updates to address emerging ethical considerations * Open communication channels for user feedback * Documentation of AI system changes and improvements
