Paper 05 of 5 · Paper 5 of 5 · Geometry Intelligence Foundational Series

Evidence-Governed Intelligence: Applying Geometry Intelligence to Institutional AI Assurance

Author

Tim Jacobs · ORCID 0009-0008-7130-1448

Publication date

2026

Version

1

DOI

10.5281/zenodo.21962425

Canonical URL

https://zenodo.org/records/21962425

License

CC BY 4.0

Claim class

C

Abstract

Applies the Geometry Intelligence framework to institutional AI assurance. Distinguishes capability claims (what a system can do) from assurance claims (what evidence supports that capability), and defines the boundary between them.

What this establishes

• A separation between capability and assurance claims
• A reviewer-facing evidence structure
• Declared limits on what assurance evidence can and cannot certify

What it does not establish

• That any system has passed independent institutional assurance under this framework
• That publication itself constitutes assurance
• A regulatory endorsement of the framework

Related concepts

• assurance boundary
• capability claim
• evidence structure
• reviewer view

Demonstrations that exercise this paper

• Chamber scenario scenario-2
• Chamber scenario scenario-4

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