https://arxiv.org/abs/1901.10002
A Framework for Understanding Unintended Consequences of Machine Learning
Harini Suresh, John V. Guttag
“…we provide a framework that partitions sources of downstream harm in machine learning into six distinct categories spanning the data generation and machine learning pipeline. We describe how these issues arise, how they are relevant to particular applications, and how they motivate different solutions.”