Documenting data input requirements (option C) ensures that all incoming data supports the business purpose, operational constraints, and intended use cases of the AI model.
AAIA highlights that aligning AI systems with business objectives starts withclear data specifications, including:
Required fields and data formats
Data quality thresholds
Acceptable ranges and constraints
Mandatory attributes
Source system definitions
Business rationale for each feature
Without documentation, data pipelines may ingest irrelevant, low-quality, or misaligned data, causing the model to drift away from business needs.
Normalization (A) improves preprocessing but does not ensure alignment.
Switching data sources (B) is premature without evaluating needs.
Defining new attributes (D) is secondary to documenting overall requirements.
[References:, AAIA Domain 1: Business Alignment and Data Requirements, AAIA Domain 2: Input Specification Governance, ]
