Seven claims
The compressed argument behind the discipline — what has to be true before institutional authority can be safely executed by machines.
01
Law 1
Machines cannot execute implicit interpretation.
→ Module 1 · The Policy Problem02
Law 2
What humans resolve informally becomes systemic variance under automation.
→ Module 3 · The Observed System03
Law 3
Execution requires deterministic representations of institutional intent.
→ Module 2 · Policy Engineering04
Law 4
Automation without explicit authority is merely faster interpretation.
→ Module 5 · Executable Authority05
Law 5
More capable AI amplifies the quality of the governing authority rather than correcting it.
→ Module 6 · The Future of Authority06
Law 6
If a decision cannot be reproduced against the governing authority, it cannot be meaningfully audited.
→ Module 5 · Executable Authority07
Law 7
A system that silently decides where its own authority ends has already exceeded it.
→ Module 5 · Executable AuthorityThese are working laws, not settled ones — the compressed version of the argument made in full in the Manifesto.
Cite this
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Suggested citation
SafeHaven (2026). The Laws of Computable Authority. Computable Authority, version of 2026-08-24. https://www.computableauthority.com/laws
BibTeX
@misc{computableauthority-laws,
author = {SafeHaven},
title = {The Laws of Computable Authority},
howpublished = {Computable Authority},
year = {2026},
note = {Version of 2026-08-24},
url = {https://www.computableauthority.com/laws},
}