Definition
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 considerations. In practice, model cards are used to document the training data, evaluation metrics, and potential biases of a model. This transparency is crucial for building trust and ensuring responsible deployment of AI systems in various applications. For instance, a model card for a facial recognition system might detail its accuracy across different demographic groups and specify its intended use for security access only. It is distinct from a simple data dictionary, as it focuses on model behavior rather than just data structure. Understanding model cards is increasingly important for roles covered by AI certifications and responsible AI frameworks.