AI Model Card

Definitions

1. A documentation artifact describing a model's purpose, data, metrics, limitations, and intended use. It influences how models are trained, evaluated, or served, and it can materially change accuracy, robustness, latency, cost, or interpretability. Practitioners usually track it alongside data quality, compute limits, and validation results when moving models into production.

   In plain English: AI Model Card is an AI concept that affects how a model learns, predicts, or gets deployed. It matters because it changes quality, speed, or reliability.

   Example: "We revisited AI Model Card during model evaluation because the first run looked fine offline but behaved poorly in production, and the adjustment improved quality without breaking our latency or compute budget."

Related Terms

• Model Card
• Benchmark Contamination
• AI Act
• AI Alignment Problem
• AI Benchmark
• AI Fairness
• Conformal Prediction
• LLM-as-Judge
• Needle in a Haystack Test
• Perplexity Score
• Risk Statement
• System Card