7 citations · 7 across the 1 of their papers we have counts for
2 papers
cs.LG2020★ 7 cited
Fairkit, Fairkit, on the Wall, Who's the Fairest of Them All? Supporting Data Scientists in Training Fair Models
Brittany Johnson, Jesse Bartola, Rico Angell +4
Modern software relies heavily on data and machine learning, and affects decisions that shape our world. Unfortunately, recent studies have shown that because of biases in data, so…
cs.SE2018
Causal Testing: Finding Defects' Root Causes
Brittany Johnson, Yuriy Brun, Alexandra Meliou
Understanding the root cause of a defect is critical to isolating and repairing buggy behavior. We present Causal Testing, a new method of root-cause analysis that relies on the th…