What is Model Card?

Explained

Model cards describe intended use, training data, evaluation results, and ethical considerations. They support governance, procurement, and audit readiness alongside technical specs.

Decision guides that use this term

• EU AI Act provider vs deployer: which role are you, and what does each one owe?

Further reading

• Ethical AI: Building Responsible AI Experiences for Enhanced User Trust
• Explainable AI (XAI): Building Trust and Transparency in AI-Driven Enterprise

Related terms

• Evaluation Process of measuring model quality (accuracy, relevance, safety).
• Intent Goal or intention detected in a user's utterance (in conversational NLP).
• Training Process of teaching the model with data (pre-training, fine-tuning).
• Bias Distortion in data or model that produces unfair or inaccurate results.
• Constitutional AI Training approach that aligns models with explicit rules and self-critique.
• Ethical AI AI designed and deployed with ethical principles (transparency, fairness, privacy).