758 citations · 1.8k across the 31 of their papers we have counts for
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cs.HC2022★ 2 cited
Understanding Machine Learning Practitioners' Data Documentation Perceptions, Needs, Challenges, and Desiderata
Amy K. Heger, Liz B. Marquis, Mihaela Vorvoreanu +2
Data is central to the development and evaluation of machine learning (ML) models. However, the use of problematic or inappropriate datasets can result in harms when the resulting…
cs.LG2022★ 29 cited
REAL ML: Recognizing, Exploring, and Articulating Limitations of Machine Learning Research
Jessie J. Smith, Saleema Amershi, Solon Barocas +2
Transparency around limitations can improve the scientific rigor of research, help ensure appropriate interpretation of research findings, and make research claims more credible. D…