SETTING GLOBAL STANDARDS FOR TRUSTED AI CREDENTIALSAI Competence Framework v1.29 · current release
AI Certification Standards
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D6.L2.01ACTIVESTABLED6 Evaluation and assurance · L2 Applied

Apply defined acceptance criteria to judge whether an AI output meets a stated requirement.

Type Skill · introduced in version 0.1

Performance indicators

Normative. These state what would be observed in a person who holds the statement.

Applies each criterion separately rather than forming a global impression
Records the criterion a failing output failed against
Refers cases the criteria do not cover rather than deciding them
Evidence examples

Non-normative. Illustrative of evidence an awarding body might accept; not a required form.

A worked artefact produced in the course of normal duties, with the reasoning recorded at the time
Attestation by a competent supervisor against the indicators above, not against a general impression
Relationships

Assumes

Statements a candidate is taken to hold already. Never at a higher level than this one.

D6.L1.01

Describe why AI output requires evaluation before it is relied upon.

Assumed by

Derived inverse. Statements that take this one as given.

D6.L3.01

Design fitness criteria for an AI system before development, derived from its intended use.

Related

Cross-domain relationships, stated in both directions and typed in the content model.

O1.L2.02

Collect evidence of a learner’s performance against stated indicators.

X-GEN.L2.03

Review generated media for harmful, misleading or unintended content.

X-SWE.L2.01

Review AI-generated code before it enters a codebase.

Referenced by

Entries on the register of conformance claims whose coverage map cites this statement.

IBAIC Inc.

Accredited awarding body — full credential portfolio assessed against the AI Competence Framework · Tier III

Provenance
IntroducedVersion 0.1
Last modifiedNot modified since introduction
Statusactive · stable
Version displayedv1.29
Permanent URLaicertificationstandards.org/framework/statements/D6.L2.01
Cite this statement

AI Certification Standards (2026) AICF D6.L2.01, D6 Evaluation and assurance, version 1.29. Available at aicertificationstandards.org/framework/v1.29/statements/D6.L2.01 (accessed date).

Propose an amendment

Statements change through the published process, not by correspondence

An amendment to this statement, its indicators or its relationships is proposed through the contribution process. Every submission is answered on the record, and the reasoning for acceptance or rejection is published in the release record for the version that follows.

Propose an amendment to D6.L2.01

Writing rules and the controlled verb list that govern how this statement is worded are published in the methodology.

This page displays version 1.29 · last reviewed 30.08.2026