15 citations · 30 across the 2 of their papers we have counts for
2 papers
cs.CY2019★ 15 cited
An Introduction to Artificial Intelligence and Solutions to the Problems of Algorithmic Discrimination
Nicholas Schmidt, Bryce Stephens
There is substantial evidence that Artificial Intelligence (AI) and Machine Learning (ML) algorithms can generate bias against minorities, women, and other protected classes. Feder…
stat.ML2019★ 15 cited
Proposed Guidelines for the Responsible Use of Explainable Machine Learning
Patrick Hall, Navdeep Gill, Nicholas Schmidt
Explainable machine learning (ML) enables human learning from ML, human appeal of automated model decisions, regulatory compliance, and security audits of ML models. Explainable ML…