2.1k citations · 2.1k across the 2 of their papers we have counts for
2 papers
cs.CY2020★ 20 cited
"What We Can't Measure, We Can't Understand": Challenges to Demographic Data Procurement in the Pursuit of Fairness
McKane Andrus, Elena Spitzer, Jeffrey Brown +1
As calls for fair and unbiased algorithmic systems increase, so too does the number of individuals working on algorithmic fairness in industry. However, these practitioners often d…
cs.LG2018★ 2.1k cited
Model Cards for Model Reporting
Margaret Mitchell, Simone Wu, Andrew Zaldivar +6
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 in…