avra-cadavra/.cursor/skills/ai2ai-privacy-validation

AI2AI Privacy Validation

Core Principle

Complete privacy protection with zero personal data exposure for AI2AI personality learning.

Validation Requirements

Anonymized Data Exchange

• [ ] No personal identifiers in AI2AI data
• [ ] Anonymized personality dimensions only
• [ ] No user IDs, emails, or names
• [ ] Privacy validation in place

Privacy-Preserving Learning

• [ ] Learning from anonymized data only
• [ ] No PII in learning processes
• [ ] Privacy filters applied
• [ ] Anonymization quality validated

Validation Pattern

/// Validate AI2AI privacy
Future<bool> validateAI2AIPrivacy({
  required PersonalityProfile original,
  required AnonymizedPersonalityData anonymized,
}) async {
  // Check 1: No personal identifiers
  final hasPersonalData = anonymized.fingerprint.contains(
    RegExp(r'user|email|name|id'),
  );
  if (hasPersonalData) {
    developer.log('Privacy violation: Personal data in anonymized data');
    return false;
  }
  
  // Check 2: Only anonymized dimensions
  final hasNonAnonymizedFields = anonymized.anonymizedDimensions.keys
      .any((key) => key.contains('user') || key.contains('email'));
  if (hasNonAnonymizedFields) {
    developer.log('Privacy violation: Non-anonymized fields');
    return false;
  }
  
  // Check 3: Anonymization quality
  final quality = await PrivacyProtection.validateAnonymizationQuality(
    original: original,
    anonymized: anonymized,
  );
  if (quality < 0.95) {
    developer.log('Privacy violation: Low anonymization quality');
    return false;
  }
  
  return true;
}

Privacy Checklist

• [ ] No personal identifiers in AI2AI data
• [ ] Anonymized personality dimensions only
• [ ] Privacy validation before exchange
• [ ] Anonymization quality validated
• [ ] No PII in learning processes
• [ ] Privacy filters applied

Reference

• lib/core/ai/privacy_protection.dart - Privacy protection implementation
• lib/core/services/ai2ai_learning_service.dart - AI2AI learning service