162 citations · 586 across the 10 of their papers we have counts for
3 papers · 1 filter
50 Years of Test (Un)fairness: Lessons for Machine Learning
Ben Hutchinson, Margaret Mitchell
Quantitative definitions of what is unfair and what is fair have been introduced in multiple disciplines for well over 50 years, including in education, hiring, and machine learnin…
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…
Mitigating Unwanted Biases with Adversarial Learning
Brian Hu Zhang, Blake Lemoine, Margaret Mitchell
Machine learning is a tool for building models that accurately represent input training data. When undesired biases concerning demographic groups are in the training data, well-tra…