Method — Bias Testing

Definition, scope boundary, and structural model.

Identity

Bias testing describes the process by which a system, model, dataset, or decision procedure is examined for systematic differences in treatment, performance, or outcomes across defined groups, conditions, or input categories.

It links observed system behavior, evaluation criteria, and comparison logic to the identification of asymmetries that may affect fairness, reliability, or representational balance.

This reference defines bias testing as a structural evaluation process independent of specific technologies, vendors, or regulatory interpretations.

Scope Boundary

Included

Excluded

Structural Phase Model

Phase 1 — Test Framing

The system, model, dataset, or procedure under review is defined together with the comparison groups, input categories, or evaluation conditions relevant for testing.

Phase 2 — Outcome Observation

Outputs, errors, decisions, or performance measures are collected across the defined conditions to establish an observable basis for comparison.

Phase 3 — Disparity Assessment

Observed results are evaluated for systematic differences in treatment, accuracy, error rates, or other relevant measures across the defined categories.

Phase 4 — Bias Output

The identified disparities are recorded, classified, or reported as structural findings for downstream interpretation, remediation, or governance processes.

Interpretation Constraint

This reference provides structural terminology and conceptual boundaries only. It does not define implementation methods, regulatory requirements, or legal interpretations.