Definition

Model cards are like fact sheets for AI models. They explain how a model was trained, what data was used, what it can do, where it may fail, and who should or shouldn't use it. They help people understand the model and use it responsibly.

Example

A model card might say: ‘This AI works well for English, but not for other languages.’

How It’s Used in AI

Used by companies and researchers to make AI more transparent and ethical. Model cards help users know whether a model is safe and fair for their situation. They’re also useful in research, compliance, and responsible AI development.

Brief History

Model cards were introduced by Google researchers in 2018 as a way to bring transparency and accountability to machine learning models. The idea quickly spread as AI tools became more widely used.

Key Tools or Models

Google, Hugging Face, and Meta include model cards for many of their AI systems. Tools like Hugging Face Hub, TensorFlow Model Garden, and OpenAI’s system cards follow this format.

Pro Tip

Always check the model card before using a public AI model. It helps avoid bad results—and builds trust with users.