SETTING GLOBAL STANDARDS FOR TRUSTED AI CREDENTIALSAI Competence Framework v1.29 · current release
AI Certification Standards
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D7.L3.02ACTIVESTABLED7 Ethics, governance and professional practice · L3 Proficient

Design fairness requirements for a system and the evidence they require.

Type Skill · introduced in version 1.29

Performance indicators

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

States the fairness property being sought and its limits
Defines measurement that could show the requirement is not met
Provides for the trade-off between competing fairness properties
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.

D7.L2.03

Check AI-assisted work for effects that fall unevenly on a group of people.

Assumed by

Derived inverse. Statements that take this one as given.

X-MOD.L3.03

Evaluate a model for regression, bias and safety behaviour before release.

X-GEN.L3.02

Assess representation and stereotype effects in generated output at scale.

Related

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

D6.L3.01

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

D2.L3.05

Assess bias arising from source composition and state its consequence.

D2.L3.07

Advise on the use of personal, confidential or licensed material with AI systems.

D5.L3.07

Assess the effect of a solution on the people who do the work.

D6.L3.06

Critique a published benchmark or vendor claim, identifying what it does and does not establish.

D6.L3.08

Review an incident involving AI output and identify the assurance gap that allowed it.

Referenced by

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

No entry on the register cites this statement. This block is populated from the coverage maps of register entries as they are listed.

Provenance
IntroducedVersion 1.29
Last modifiedNot modified since introduction
Statusactive · stable
Version displayedv1.29
Permanent URLaicertificationstandards.org/framework/statements/D7.L3.02
Cite this statement

AI Certification Standards (2026) AICF D7.L3.02, D7 Ethics, governance and professional practice, version 1.29. Available at aicertificationstandards.org/framework/v1.29/statements/D7.L3.02 (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 D7.L3.02

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