T33. Data pre-processing

Training, testing, and operation undergo preprocessing in many AI systems.

The AI System Owner and Algorithm Owner should ensure that the organization designs and implements appropriate workflows and technical interfaces for effective and appropriate data preprocessing.

As training data, validation data, and operational data often differ qualitatively, the Algorithm Owner should ensure that the organization understands the differences and designs and implements appropriate workflows and interfaces for preprocessing each data category.

The AI System Owner should ensure that the data preprocessing process aligns with the organization’s values and risk tolerance