Privacy Workbench
A working demonstration of AI-assisted government data governance.
The question
Public agencies need to explain what information they collect, why they retain it, and who can access it. Consistency across offices is a difficult, detailed task.
What I built
I built the Workbench frontend and demonstration; Valerie Adams developed the agent orchestration engine and architecture. The interface brings provenance, review queues, and sensitive decisions into the officer’s workflow.
Where it stands
Our team won the Utah AI Data Protection & Governance challenge at the 2026 HITLAB/UVU event. The public demo replays curated data. Some scenarios are illustrative; it is a hackathon demonstration, not a deployed government service.
The people
Craig Cossairt: frontend and demo. Valerie Adams: agent orchestration engine and architecture.