We find that using APIs with blindspots statistically significantly reduces the developers' ability to correctly reason about the APIs in both languages, but that the effect is more pronounced for Python.
Software Engineering Cryptography and Security
To address bias in machine learning, data scientists need tools that help them understand the trade-offs between model quality and fairness in their specific data domains.
We present RobinHood, an ofﬂine contextual bandit algorithm designed to satisfy a broad family of fairness constraints.
This paper defines software fairness and discrimination and develops a testing-based method for measuring if and how much software discriminates, focusing on causality in discriminatory behavior.
Double-blind review relies on the authors' ability and willingness to effectively anonymize their submissions.
Digital Libraries General Literature Software Engineering