Model Card

Model cards are standardized documents providing crucial information about machine learning models, aiming to improve transparency, accountability, and responsible use. Current research focuses on improving the content and structure of model cards, particularly addressing ethical considerations (reframing them around trustworthiness and risk management), and ensuring comprehensive documentation of model limitations, biases, and environmental impact. The widespread adoption of model cards is vital for fostering trust in AI systems across diverse applications, from healthcare to natural language processing, and facilitating better evaluation and comparison of models.