0. Plain Statement
More AI rules do not increase safety once complexity outruns auditability.
Plain-language version:
More AI rules do not increase safety once complexity outruns auditability.
1. Formal Definition
AI Rule-Stacking Law is currently defined by the source registry excerpt below. This scaffold awaits editorial expansion into the full law spec sheet format.
2. Canonical Form
TBDRelated variables:
TBD3. Core Mechanism
TBD. Expand from the source excerpt and related UTS modules during editorial review.
4. When This Law Applies
TBD. Define applicability conditions during editorial review.
5. When This Law Does Not Apply
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6. Diagnostic Signature
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7. Failure Pattern
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8. Restoration Implications
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9. Design Rule
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10. Cross-Scale Expressions
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11. Examples
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12. Relationship to Nearby Laws
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13. Operator Mapping
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14. Machine-Readable Summary
id: "LAW-124"
name: "AI Rule-Stacking Law"
type: "law"
status: "draft"
family:
- "AI"
summary: "More AI rules do not increase safety once complexity outruns auditability."
canonical_statement: "More AI rules do not increase safety once complexity outruns auditability"
canonical_form: "TBD"
source: "content/archive/laws/technical.md"15. Compact Card Version
LAW-124 — AI Rule-Stacking Law
More AI rules do not increase safety once complexity outruns auditability.
Plain meaning: More AI rules do not increase safety once complexity outruns auditability.
Canonical form:
TBD16. Source Status
This scaffold was generated from the current laws technical registry. Sections marked TBD should be expanded only from source material, related canon pages, or later editorial review.
17. Source Excerpt
More AI rules do not increase safety once complexity outruns auditability.
Canonical expression:
X_c > Au_eff ⇒ H↑ ⇒ O↓Symptoms:
- policy mass grows
- exceptions proliferate
- appeals fail
- staff cannot explain enforcement
- user outcomes feel arbitrary
- logs exist but causality is unclear