Commonly confused

Model card vs AI governance

A model card documents a model's intent and limits. AI governance is the broader policy system that requires those artifacts.

Model card

A model card is a document that provides a concise summary of a machine learning model's characteristics, intended use, and performance. It serves as a standardized way to communicate essential information about AI models, including their capabilities, limitations, and ethical.

A model card documents an AI model's characteristics, intended use, and performance, promoting transparency and responsible deployment.

Full PathTerms™ definition

AI governance

AI governance provides a framework for managing and overseeing artificial intelligence systems throughout their lifecycle. It establishes policies, processes, and controls to ensure AI is developed and deployed ethically, securely, and in alignment with organizational.

AI governance establishes policies and controls for ethical, secure, and compliant AI development and deployment.

Full PathTerms™ definition

Why it matters

People mix up Model card and AI governance in exam questions and job posts. Knowing the difference helps you pick the right control, process, or architecture choice.

How to remember the difference

A model card documents a model's intent and limits. AI governance is the broader policy system that requires those artifacts.

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