The functional view of an AI system typically divides the system into:
Input Component
Processing Component
Output Component
The "processing component" is responsible for utilizing a trained model to process incoming data and generate outputs such as predictions, actions, or recommendations.
Option B refers to the training phase, which occurs before the processing stage.
Option C relates to governance or lifecycle management - not the system's processing role.
Reference:
ISO/IEC 22989:2022, Clause 3.8 - Functional architecture of AI systems
ISO/IEC 42001:2023, Clause 6.1 - AI lifecycle understanding, including data input, model use, and output generation