Model Cards for Model Reporting

@article{Mitchell2019ModelCF,
  title={Model Cards for Model Reporting},
  author={Margaret Mitchell and Simone Wu and Andrew Zaldivar and P. Barnes and Lucy Vasserman and B. Hutchinson and Elena Spitzer and Inioluwa Deborah Raji and Timnit Gebru},
  journal={Proceedings of the Conference on Fairness, Accountability, and Transparency},
  year={2019}
}
Trained machine learning models are increasingly used to perform high-impact tasks in areas such as law enforcement, medicine, education, and employment. In order to clarify the intended use cases of machine learning models and minimize their usage in contexts for which they are not well suited, we recommend that released models be accompanied by documentation detailing their performance characteristics. In this paper, we propose a framework that we call model cards, to encourage such… Expand
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