Which standard is most closely associated with describing AI systems using machine learning, as mentioned in the material?

Which standard is most closely associated with describing AI systems using machine learning, as mentioned in the material?

• A. ISO/IEC 23053
• B. ISO/IEC 42001
• C. NIST RMF
• D. PDPC Model AI Governance Framework

Answer: (A)

This question tests recognizing the standard that specifically provides a framework for describing AI systems that use machine learning. ISO/IEC 23053 is designed to describe AI systems in a structured way, detailing components, data flows, models, training and deployment processes, and the lifecycle. This makes it the best fit for documenting how machine learning is used within an AI system and communicating those details clearly to stakeholders. The other options don’t target the description of AI systems in this way: ISO/IEC 42001 is a different standard with a distinct focus, NIST RMF centers on risk management across information systems, and the PDPC Model AI Governance Framework emphasizes governance processes rather than a descriptive framework for AI architectures.

This question tests recognizing the standard that specifically provides a framework for describing AI systems that use machine learning. ISO/IEC 23053 is designed to describe AI systems in a structured way, detailing components, data flows, models, training and deployment processes, and the lifecycle. This makes it the best fit for documenting how machine learning is used within an AI system and communicating those details clearly to stakeholders.

The other options don’t target the description of AI systems in this way: ISO/IEC 42001 is a different standard with a distinct focus, NIST RMF centers on risk management across information systems, and the PDPC Model AI Governance Framework emphasizes governance processes rather than a descriptive framework for AI architectures.