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THE TECHNICAL LANGUAGE OF DIGITAL B2B INFRASTRUCTURE

STANDARD
AI GOVERNANCE

ISO/IEC 23894:2023 — AI Risk Management

An international standard providing guidance on managing risks faced by organizations that develop, provide, deploy, or use AI systems.


BUSINESS RELEVANCE

ISO/IEC 23894 gives organizations a common structure for connecting AI-specific technical and societal concerns with enterprise risk governance and accountable decisions.


IMPLEMENTATION EXAMPLE

A provider uses the standard to identify risks across data, model, integration, user interaction, and post-deployment monitoring, then assigns treatments and residual-risk owners.


LIMITATIONS

The standard does not prescribe universal controls or establish that residual risk is acceptable. It must be adapted to the system, stakeholders, legal context, and organizational risk criteria.


TECHNICAL EXPLANATION

The standard adapts risk-management principles to AI by addressing organizational context, lifecycle activities, stakeholders, sources of risk, assessment, treatment, communication, monitoring, and review. It is guidance rather than a certifiable requirements standard and is intended to integrate with broader risk-management practices.


Secondary Topics

Cybersecurity, Data Engineering

Sources

ISO — ISO/IEC 23894:2023 — https://www.iso.org/standard/77304.html