Consultationdraft

A framework for evaluating whether an AI system or data-driven capability is suitable for use in a defined business scenario.

Technical Whitepaper Series No. 1

Scenario Adaptation Testing Framework

This framework is not a general benchmark, vendor ranking, certification scheme, or proof of safety.

Requirements

  1. RequirementScenario definition covering business purpose, AI system role, decision context, users, affected parties, data dependencies, risk level, human oversight, success criteria, & failure conditions
  2. RequirementTesting dimensions covering functional adequacy, robustness, data dependency, explainability, contestability, fairness, safety, misuse, security, confidentiality, human oversight, & monitoring readiness
  3. RequirementMinimum scenario testing protocol covering system & model version, data version & test set, metrics & thresholds, baseline, edge & misuse cases, failure log, reproducibility record, retest trigger, & evidence sufficiency rule
  4. RequirementDecision outcomes: proceed, conditional proceed, remediate, redesign, or no-go, limited to the defined scenario

Deliverables

  • Scenario definition record
  • Risk classification
  • Test design & metric rationale
  • Test results & limitations
  • Human oversight plan
  • Monitoring & remediation plan
  • Deployment decision record

How this standard has evolved

01Consultation Draft

This version is open for review and may change before release.

02Bounded Use

Use the framework within its stated limits and professional context.

03Stakeholder Review

Feedback from members and subject experts informs revisions before publication.

04Revision Discipline

Updates are tracked so readers can see what changed and why.