AI roles and responsibilities

Define and allocate AI roles and responsibilities according to the organization's needs. In practice the record is AI roles and responsibilities matrix. For ai roles and responsibilities a team name is not a person, so write the name.

What it asks

Define and allocate AI roles and responsibilities according to the organization's needs.

Where generative AI changes the answer

Generative AI roles have to name who approves a use, who owns the output and who can switch the system off, because the vendor owns none of those.

Who it binds

Top management and the named AI roles. For A.3.2 the named role is the owner of AI roles and responsibilities matrix.

Evidence an auditor normally samples

• AI roles and responsibilities matrix
• Coverage of human oversight, security, privacy, safety, performance, development, suppliers, legal compliance, data quality, assets and resources, impact assessment and risk management
• Evidence roles were assigned considering policy, objectives and risks

The test you can run

Compare AI roles and responsibilities matrix with the use as it runs today; the gap between the two is the finding to record.

Common failures

• No role owns human oversight
• Data quality responsibility undefined across the life cycle

Before the draft publishes

For A.3.2, name the person who can approve a use, the person who owns the output and the person who can switch the system off. If one name is missing, that is the finding. The first artefact to produce is AI roles and responsibilities matrix.

Where this sits against the draft

The draft's published scope names controls for the risks it identifies, and A.3.2 (ai roles and responsibilities) is the published ISO/IEC 42001 control closest to that work. The draft does not replace it, and an audit still tests it against the evidence listed here.