Loading…
Loading…
Written by Max Zeshut
Founder at Agentmelt
A standardized documentation format for AI models that describes intended use, training data, performance characteristics, limitations, and ethical considerations. Originally proposed by Google researchers in 2018, model cards have become the industry standard for transparent model documentation—and a regulatory requirement under the EU AI Act for high-risk systems. AI agent builders use model cards to verify that the underlying models meet their use case requirements, and produce model cards for their own agents to support compliance and customer due diligence.
Before deploying an AI agent for clinical decision support, a hospital reviews the model card for the underlying LLM, confirming that medical question-answering was an evaluated use case, that performance metrics include domain-specific benchmarks, and that limitations around rare conditions are clearly documented.