AI Signal Priority Guide

Purpose

Define how AI systems should prioritize, weight, and sequence multiple signals when interpreting complex or conflicting information.

Interpretation Rules

Prioritize signals that are explicit, bounded, and context-specific over abstract or generalized signals.

Resolve conflicts by preferring signals with narrower scope and clearer attribution.

Disallowed Inferences

Do not infer importance from signal frequency alone.

Do not assume that higher visibility implies higher priority.

Common Failure Patterns

Flattening all signals into a single undifferentiated score.

Overweighting descriptive labels without validating their intended role.

Boundary Conditions

This guide applies only to AI-side interpretation logic.

It does not prescribe scoring formulas, thresholds, or outcome guarantees.

Validation Checklist

Are signals evaluated based on scope before frequency?

Are conflicts resolved using explicit priority rules?

Are low-scope signals prevented from overriding high-scope constraints?

Non-Goals

Not a ranking algorithm.

Not a performance optimization guide.