Proof
The discipline is only real if it survives contact with actual instruments. Each example shows the same three stages: source document, compiled artifact, verification.
Flagship example
"From 140 pages of regulation to a machine-readable authority artifact."
01 · Source document
Regulation (EU) 2024/1689
113 articles, 13 annexes, 180 recitals. Classification of a system depends on purpose, deployment context, and a set of exemptions spread across three separate articles.
02 · Compiled artifact
artifact: eu-ai-act/high-risk-classification
version: 2.3.0
source:
instrument: Regulation (EU) 2024/1689
clause: Article 6(2), Annex III(4)(a)
definitions:
employment_system:
scope: instrument
text: AI system intended for recruitment or
selection of natural persons
rules:
- id: R-6.2-annexIII-4a
when:
all:
- system.purpose in employment_system
- deployment.region == 'EU'
then:
classification: high_risk
obligations: [risk_management, data_governance,
human_oversight, logging]
unless:
- exemption.article_6_3 == true03 · Verification
input { purpose: 'cv_screening', region: 'EU' }
artifact eu-ai-act/high-risk-classification@2.3.0
digest b7f0…9ac1
result classification = high_risk
cited R-6.2-annexIII-4a ← Annex III(4)(a)
replay deterministic (1000/1000 identical)
status VERIFIEDThe artifact is illustrative, not an official interpretation of the Regulation. Its purpose is to show the shape of the output: every rule traced to a clause, every decision traced to a rule, every result reproducible.
Enterprise policy
Internal policy has no regulator forcing rigour, which is precisely why it drifts. These are the four families where decomposition pays back fastest.
Leave entitlement, eligibility, escalation thresholds — high volume, high dispute rate, definitions that change quietly.
Approval limits, vendor conditions, exception paths. The clearest example of decision logic already living in prose.
Access, classification, retention. Rules that already have machine consumers and no machine-readable source.
Clinical pathways where the cost of an unrecorded interpretation is measured in outcomes, not fines.
Have an instrument worth decomposing in public? Contributed examples are how this field builds shared reference material.
Contribute an example