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Aspirations and Practice of Model Documentation: Moving the Needle with Nudging and Traceability. (arXiv:2204.06425v1 [cs.SE])
April 14, 2022, 1:11 a.m. | Avinash Bhat, Austin Coursey, Grace Hu, Sixian Li, Nadia Nahar, Shurui Zhou, Christian Kästner, Jin L.C. Guo
cs.LG updates on arXiv.org arxiv.org
Machine learning models have been widely developed, released, and adopted in
numerous applications. Meanwhile, the documentation practice for machine
learning models often falls short of established practices for traditional
software components, which impedes model accountability, inadvertently abets
inappropriate or misuse of models, and may trigger negative social impact.
Recently, model cards, a template for documenting machine learning models, have
attracted notable attention, but their impact on the practice of model
documentation is unclear. In this work, we examine publicly available …
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