Remova Logo
AI Glossary

Model Card

A documentation framework providing transparency about an AI model's capabilities, limitations, and intended use.

TL;DR

  • —A documentation framework providing transparency about an AI model's capabilities, limitations, and intended use.
  • —Understanding Model Card is critical for effective AI for companies.
  • —Remova helps companies implement this technology safely.

In Depth

Model cards describe a model's performance characteristics, training data, intended use cases, known limitations, and ethical considerations. They help organizations make informed decisions about which models to deploy and how to use them responsibly.

Related Terms

AI Transparency

The practice of being open about how AI systems work, what data they use, and how decisions are made.

Responsible AI

An approach to AI development and deployment that prioritizes safety, fairness, transparency, and accountability.

AI Governance

The framework of policies, processes, and controls that guide responsible AI development and usage within organizations.

Foundation Model

A large AI model trained on broad data that can be adapted to many downstream tasks.

Knowledge Hub

Glossary FAQs

Model Card is a fundamental concept in the AI for companies landscape because it directly impacts how organizations manage a documentation framework providing transparency about an ai model's capabilities, limitations, and intended use.. Understanding this is crucial for maintaining AI security and compliance.
Remova's platform is built to natively manage and optimize Model Card through our integrated governance layer, ensuring that your organization benefits from this technology while mitigating its inherent risks.
You can explore our full AI for companies glossary, which includes detailed definitions for related concepts like AI Transparency and Responsible AI.

BEST AI FOR COMPANIES

Experience enterprise AI governance firsthand with Remova. The trusted platform for AI for companies.

Sign Up