SETTING GLOBAL STANDARDS FOR TRUSTED AI CREDENTIALSAI Competence Framework v1.29 · current release
You are reading the current version of the framework, v1.29.Permanent address for this version
D6.L1.01ACTIVESTABLED6 Evaluation and assurance · L1 Aware

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

Type Knowledge · introduced in version 0.1

Performance indicators

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

States that output can be fluent and confident while being wrong
Distinguishes plausibility from correctness
Identifies at least one consequence of relying on unevaluated output in their own work
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.

This statement assumes no other statement. It is a starting point within its domain.

Assumed by

Derived inverse. Statements that take this one as given.

D6.L2.01

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

Related

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

D1.L2.04

Identify where the confidence of an output is unrelated to its correctness.

D4.L1.01

Describe what changes when an AI step runs without a person present.

D5.L1.04

State why the cost of a system continues after it is built.

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.L1.01
Cite this statement

AI Certification Standards (2026) AICF D6.L1.01, D6 Evaluation and assurance, version 1.29. Available at aicertificationstandards.org/framework/v1.29/statements/D6.L1.01 (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.L1.01

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