Model Card
A standardized, transparent documentation framework that details a machine learning model's intended use cases, performance metrics, and inherent biases.
Think of It Like This
Like a detailed nutrition label on a food package, telling you exactly what is inside, how it was made, and allergy warnings.
Model cards provide critical transparency for developers and end-users, highlighting the limitations and ethical considerations of a model. They typically include details on the training data, evaluation benchmarks across different demographic slices, and known failure modes. They are a cornerstone of responsible AI governance.