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Model card

Model card (scheda del modello)

A model card is a document accompanying an AI model that transparently describes its characteristics: what it is for, how it was trained, on what data, and its known limits and risks. It is like a food's nutrition label or a drug's package insert: before "consuming" the model, users can read ingredients, contraindications and side effects. A good card states intended and discouraged uses, benchmark performance, possible biases and the populations it was evaluated on, so no one deploys it blindly in contexts it is unfit for.

Definition

A model card matters because it promotes responsible, informed use of AI. It makes developers more accountable and helps users, companies and regulators decide whether a model is trustworthy for a given purpose, reducing the risk of improper or harmful applications.

Related terms

• Explainability (XAI)
• AI Bias
• Benchmark
• Alignment
• AI Content Moderation

More in AI Fundamentals

• LLM (Large Language Model)
• Token
• Context Window
• Temperature
• AI Hallucination
• Fine-tuning
• RAG (Retrieval Augmented Generation)
• Embedding

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