A structured summary of a model’s intent, data, performance limits, and ethical considerations—documentation for builders and procurement, not marketing copy.
Model cards improve transparency: intended use, metrics, known failure modes, and bias caveats. They support responsible AI reviews and pair with bias and fairness work.
Habit
Update cards when versions, training data, or evaluation suites change—same rigor as API changelogs.