ISO/IEC 23053 describes a framework for describing a generic AI system using machine learning.

ISO/IEC 23053 describes a framework for describing a generic AI system using machine learning.

• A. ISO/IEC 42001
• B. NIST RMF
• C. ISO/IEC 23053
• D. OECD AI Principles

Answer: (C)

The question tests recognizing which standard provides a framework specifically for describing an AI system that uses machine learning. ISO/IEC 23053 is the one that offers such a framework, outlining how to describe the AI system’s components, data sources, models, training and evaluation processes, deployment context, governance, and lifecycle. This structured description helps with transparency, comparability, and governance across different systems and organizations. The other options don’t fit this purpose: ISO/IEC 42001 is not the AI system description framework; NIST RMF is a risk-management framework for information systems rather than a descriptive framework for AI systems; and OECD AI Principles are policy guidelines focused on ethics and governance rather than providing a concrete framework to describe an AI system.

The question tests recognizing which standard provides a framework specifically for describing an AI system that uses machine learning. ISO/IEC 23053 is the one that offers such a framework, outlining how to describe the AI system’s components, data sources, models, training and evaluation processes, deployment context, governance, and lifecycle. This structured description helps with transparency, comparability, and governance across different systems and organizations.

The other options don’t fit this purpose: ISO/IEC 42001 is not the AI system description framework; NIST RMF is a risk-management framework for information systems rather than a descriptive framework for AI systems; and OECD AI Principles are policy guidelines focused on ethics and governance rather than providing a concrete framework to describe an AI system.