Framework reference / AI management systems
ISO/IEC 42001:2023
ISO/IEC 42001 specifies requirements for establishing, implementing, maintaining, and continually improving an AI management system (AIMS).
Scope
It applies to organizations that provide or use AI products or services. The management-system approach addresses governance, risk and opportunity, lifecycle controls, transparency, monitoring, and continual improvement.
Core structure
Organizational context
Define the AIMS scope, stakeholders, AI uses, and external and internal requirements.
Leadership and accountability
Set policy, roles, oversight, responsibilities, and decision authority.
AI risk and impact
Assess and treat risks and opportunities, including impacts on people and society.
Lifecycle controls
Manage data, development, acquisition, deployment, operation, and third parties.
Transparency and communication
Document relevant system information and communicate with interested parties.
Performance and improvement
Monitor, audit, review, correct, and continually improve the AIMS.
Operational evidence examples
How ShadowCore uses this reference
Boundaries and claims
This page is a high-level public summary, not a reproduction of the standard or a conformity assessment.
ShadowCore currently treats ISO/IEC 42001 as a research and design reference, not a certification claim.
Official source: ISO/IEC 42001:2023 overviewPublic reference material for product design and readiness planning. It is not legal advice, certification, or an independent assessment.