This research introduces a Privacy Checklist framework that systematically identifies privacy violations across different domains and technologies.

• Applies Contextual Integrity Theory to create structured privacy violation detection
• Bridges the gap between theoretical privacy concepts and practical implementation
• Demonstrates effectiveness using healthcare data privacy (HIPAA) regulations
• Provides a unified approach across multiple fields including NLP, Computer Vision, and Networks

Why it matters for healthcare: This framework offers a standardized method to detect privacy violations in medical data sharing, helping organizations maintain HIPAA compliance while leveraging modern AI technologies.

Privacy Checklist: Privacy Violation Detection Grounding on Contextual Integrity Theory