Behavioral AI Governance Infrastructure for execution-time oversight, governance telemetry, and longitudinal accountability.
Time turns behavior into infrastructure.
Behavior is the most honest data there is.
- Execution-Time Governance
- Behavioral Drift Monitoring
- Governance Telemetry
- Decision Boundary Enforcement
- Stop Authority
- Longitudinal Accountability
- Replay-Capable Governance Evidence
- Runtime Governance Infrastructure
Most AI governance still operates at the policy layer.
HHI focuses on runtime behavior:
- what systems actually do
- how governance persists over time
- how interventions are logged
- how oversight survives deployment drift
- how evidence remains replayable
Telemetry proves operation. Policies describe intent.
GitHub: https://github.com/Hollow-house-institute
Canonical Standards Library: https://github.com/Hollow-house-institute/Hollow_House_Standards_Library
DOI: https://doi.org/10.5281/zenodo.20044740
ORCID: https://orcid.org/0009-0009-4806-1949
Amy Pierce Bui Founder, Hollow House Institute
- START_HERE.md
- README.md
- ARCHITECTURE.md