Inconsistent data formatting means the AI model is receiving inputs that do not match what it was trained to understand. The best corrective action is to document and enforce technical specifications for incoming data (option A).
AAIA highlights this as a fundamental data governance requirement:
* Field formats
* Data types
* Encoding rules
* Required attributes
* Normalization methods
Without strict specifications, the model cannot reliably parse or classify inputs.
Option B does not address the root cause.
Option C improves human response but not data consistency.
Increasing model complexity (D) adds risk and does not fix inconsistent formatting.
References:
AAIA Domain 2: Input Standards and Data Consistency
AAIA Domain 1: Governance and Data Pipeline Controls