Severity Increases Without New Evidence

The severity, risk, confidence, or escalation level increases even though no new evidence has been added.

What This Looks Like

A case becomes more severe across AI outputs, reviews, or workflow steps even though no new evidence has been added. The language may become stronger, a risk level may rise, escalation may increase, or the case may be treated as more urgent without a new factual basis.

Why It Matters

Severity should track evidence. If severity increases without new evidence, users may overreact, over-escalate, or treat uncertainty as confirmation. This can distort review priorities and make the workflow less trustworthy.

Structural Signal

The severity state grows while the evidence state stays the same. The issue is not that severity is high; it is that severity increases without a corresponding change in evidence.

Common Triggers

Repeated review language becomes stronger each pass
The AI treats uncertainty as accumulating risk
Escalation paths increase severity by default
Reviewers or agents inherit prior concern without rechecking evidence
Confidence labels are converted into severity labels
The workflow lacks a rule tying severity changes to new evidence

When to Use This Issue

Use this Issue when severity, risk level, escalation level, or urgency increases without new evidence supporting the increase.

When Not to Use This Issue

Do not use this Issue when new evidence genuinely supports increased severity. Do not use it when severity is wrong but does not change over time.

Primary Pattern

PAT-0300 — Escalation Growth

Declared Patterns

PAT-0300 — Escalation Growth
A structural condition where impact, authority, scope, or consequence increases across sequential states without a declared limiting mechanism.
PAT-0390 — Threshold Breach
A structural condition where an observed metric, value, state, or condition exceeds a declared quantitative or qualitative threshold.
PAT-0120 — Missing Authority
A structural condition where a region, action, state, or decision path exists without a declared governing authority.

Derived Primary Lenses

LEN-0100 — Absence Lens
Detects structurally required elements that are missing from the observed structure.
LEN-0110 — Authority Overlay Lens
Maps declared authority hierarchies onto observed structure to detect absence, override, or conflict.
LEN-0190 — Escalation Gradient Lens
Measures structural growth or intensification across sequential executions, states, or transitions.
LEN-0210 — Invariant Lens
Verifies that declared invariants are structurally enforceable and not contradicted by observed structure.
LEN-0290 — Variance / Entropy Lens
Measures structural variability across repeated or comparable evaluations and identifies divergence beyond expected bounds.

Derived Secondary Lenses

LEN-0120 — Boundary Compliance Lens
Evaluates observed structure against declared boundary posture, including allow, block, and exception rules.
LEN-0150 — Conflict Lens
Detects mutually incompatible constraints, claims, states, or declarations that cannot be simultaneously satisfied.
LEN-0250 — Propagation Lens
Traces how structural declarations, effects, or state changes propagate across boundaries or stages.
LEN-0270 — Reconciliation Lens
Evaluates whether structural changes align with declared authority updates, version changes, or reconciliation rules.

Search Intents

severity increases without new evidence
AI severity went up without evidence
risk level increased without new information
escalation increased without evidence
AI made issue more severe
severity drift in AI review

Ontology Metadata

Code: ISS-0102
Version: ISS-0102@0.1.0
Ontology release: 0.1.0
Updated: 2026-05-10T00:00:00Z

History

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