Gatekeeper: Deterministic AI Governance Subtitle: Refusal is the resting state. Execution requires proof.

Gatekeeper: Deterministic AI Governance

Refusal is the resting state. Execution requires proof.

Most AI governance today is a probabilistic guess dressed in policy language. Oak & Sparrow built something different: Gatekeeper, a deterministic pre-execution governance kernel that sits between an AI agent and its desired real-world action. It evaluates the action against a formally encoded ontology of statutes, delivering a byte-deterministic GREEN, YELLOW, or RED verdict sealed in a SHA-256 artifact chain—no LLMs in the enforcement layer. The ontology validates cleanly under HermiT and Pellet reasoners, with refusal as the default state and execution requiring proof. Underpinning it all is rigorous math: an information-geometric framework based on the Fisher-Johosky metric, boasting a publicly verifiable forecasting record at 8.65 sigma across 156 pre-registered daily observations—3.65 sigma beyond CERN's Higgs discovery threshold.

AI researchers, governance experts, policymakers, and deep tech builders seeking robust, verifiable safeguards for AI deployment.

Join us for an architecture walkthrough, live demo, and open Q&A to explore Gatekeeper's inner workings and real-world implications.

11:00 AM - Doors open and welcome

11:15 AM - Architecture walkthrough

12:15 PM - Live demo

1:00 PM - Open Q&A

2:00 PM - Event close