Skip to content

amypbui/HHI_Public_Entry

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

3 Commits
 
 
 
 
 
 
 
 

Hollow House Institute

Behavioral AI Governance Infrastructure for execution-time oversight, governance telemetry, and longitudinal accountability.

Core Principle

Time turns behavior into infrastructure.

Data Axiom

Behavior is the most honest data there is.

What HHI Focuses On

  • Execution-Time Governance
  • Behavioral Drift Monitoring
  • Governance Telemetry
  • Decision Boundary Enforcement
  • Stop Authority
  • Longitudinal Accountability
  • Replay-Capable Governance Evidence
  • Runtime Governance Infrastructure

Why This Matters

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.

Canonical References

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

Founder

Amy Pierce Bui Founder, Hollow House Institute

Quick Navigation

  • START_HERE.md
  • README.md
  • ARCHITECTURE.md

About

Behavioral AI governance infrastructure focused on execution-time governance, telemetry continuity, runtime oversight, and longitudinal accountability.

Topics

Resources

Code of conduct

Contributing

Security policy

Stars

Watchers

Forks

Releases

No releases published

Packages

 
 
 

Contributors