EXPERTISE · ISO/IEC 42001

Treat AI governance as a management system with accountable evidence.

ISO/IEC 42001:2023 specifies requirements for establishing, implementing, maintaining and continually improving an Artificial Intelligence Management System (AIMS). It provides a management-system structure for governing AI-related responsibilities, risks, objectives, processes and controls.

DEFINITION

What does this mean in an enterprise context?

ISO/IEC 42001:2023 specifies requirements for establishing, implementing, maintaining and continually improving an Artificial Intelligence Management System (AIMS). It provides a management-system structure for governing AI-related responsibilities, risks, objectives, processes and controls.

CONTROL DIMENSIONS

Four lenses for executive review.

Context

Define organizational scope, interested parties and AI-related obligations.

Leadership

Establish policy, accountability, roles and governance direction.

Risk & Objectives

Assess AI risks and opportunities and define measurable objectives.

Evidence

Operate controls, monitor performance, audit and improve the system.

QUESTIONS TO ASK

Useful questions for leadership, risk and technology teams.

What is the scope of the AI management system?

The answer should identify an accountable owner, a defined control expectation and evidence that the control operates.

How are AI risks and opportunities integrated into management processes?

The answer should identify an accountable owner, a defined control expectation and evidence that the control operates.

Which documented information and evidence are necessary?

The answer should identify an accountable owner, a defined control expectation and evidence that the control operates.

How will internal audit and management review drive improvement?

The answer should identify an accountable owner, a defined control expectation and evidence that the control operates.

RESEARCH

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INDEPENDENT ADVISORY

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