model card

plural model cards

1. artificial intelligenceA document describing a machine learning model, often including information about training datasets, biases, benchmarks, and ethical considerations.

   To guide the Model Card creator to organize model information

   2020 July 29, Huanming Fang, Hui Miao, “Introducing the Model Card Toolkit for Easier Model Transparency Reporting”, in Google Research, Google

   3 more examples

   We propose model cards as a step towards the responsible democratization of machine learning and related artificial intelligence technology, increasing transparency into how well artificial intelligence technology works.

   2019 January 29, Margaret Mitchell, Simone Wu, Andrew Zaldivar, Parker Barnes, Lucy Vasserman, “Model Cards for Model Reporting”, in Proceedings of the Conference on Fairness, Accountability, and Transparency (FAT* '19), New York, NY, USA: Association for Computing Machinery, →DOI, →ISBN, pages 220–229

   Model cards are a very recent and hot topic of research. In Machine Learning (ML), transparency with model cards is relevant as it affects a wide range of domains, from health care to finance and jobs, etc.

   2020, Abhishek Wadhwani, Priyank Jain, “Machine Learning Model Cards Transparency Review : Using model card toolkit”, in 2020 IEEE Pune Section International Conference (PuneCon), →DOI, pages 133-137

   So-called “model cards” have emerged as a standardization tool for AI developers to comprehensively document all key aspects of generative AI systems, including domainspecific training datasets, biases, and ethical considerations (Mitchell et al. 2019).

   2025, Fabian Ferrari, “The Governanceof Generative AI: Three Conditions for Research and Policy”, in José Dijck, Karin Es, Anne Helmond, Fernando Vlist, editors, Governing the Digital Society: Platforms, Artificial Intelligence, and Public Values, Taylor & Francis, →ISBN

   Synonyms: system card