Beyond RAG - Building Reliable AI Systems for Privacy Assessments

Explore practical approaches to building trustworthy AI systems for automating privacy assessments in this 14-minute conference talk from PEPR '25. Learn which components of privacy assessments are suitable for automation versus those requiring human oversight, while discovering technical strategies to prevent hallucinations, handle conflicting documentation, normalize AI outputs, and validate assessments against established policies. Examine real-world implementation patterns for creating robust privacy automation systems that maintain high accuracy while scaling across organizations, moving beyond basic RAG approaches to ensure reliable interpretation of privacy requirements and engineering documentation.