Name: Tutorial - Introduction to Machine Learning Model Cards Description: This tutorial provides an overview of machine learning model cards. It defines what they are, explains their main sections, and discusses their importance for promoting transparency, mitigating bias, and managing risk in AI. The presentation concludes with practical guidance on how to use model cards. Keywords: Machine learning model cards, responsible AI, transparency, documentation, metadata Learning objectives: Explain what ML model cards are and their purpose. Identify the main sections of a model card. Explain why model cards are important for responsible/transparent AI. Describe how to use model cards in practice. Prerequisites/requirements: Some knowledge about machine/deep learning. Additional information: Time estimation: 30 minutes Level: Beginner / Introductory Published: 2025-09-15 Latest modification: 2025-09-15 License: CC-By 4.0 Version: 1.0.0 Identifier: 10.5281/zenodo.17062307. Citation: Tutorial: Introduction to ML model cards. Zenodo. https://doi.org/10.5281/zenodo.17062307. Other tutorials in this series: Castro, L. J. (2025, September 15). Tutorial: Introduction to FAIR4ML, a vocabulary to describe FAIR AI models. Zenodo. https://doi.org/10.5281/zenodo.17062369 Castro, L. J. (2025, September 15). Tutorial: Introduction to MLentory, a metadata registry for AI models. Zenodo. https://doi.org/10.5281/zenodo.17062651