What is Data Provenance?

How clearly an AI system's logic, data sources, and limitations are documented and understandable.

Techniques that create modified training examples to improve model generalization.

A shift in real-world input data over time that can degrade model performance.

The process of assigning tags or target outputs to raw data for supervised learning.

A collection of structured or unstructured examples used for training, validation, or testing.

A record of where data came from, how it was transformed, and where it is used.