This research introduces a structured approach to detecting privacy violations based on contextual integrity theory, creating a practical privacy checklist for AI applications.

• Develops a comprehensive privacy violation detection system that works across different domains including healthcare
• Leverages contextual integrity theory to create a structured framework for identifying privacy breaches
• Implements privacy checks for applications handling sensitive data, with special focus on HIPAA compliance
• Bridges the gap between theoretical privacy concepts and practical implementation requirements

For healthcare organizations, this framework offers a systematic way to evaluate AI systems for potential privacy violations, helping protect sensitive patient data while maintaining regulatory compliance.

Privacy Checklist: Privacy Violation Detection Grounding on Contextual Integrity Theory