Patterns and Antipatterns, Principles, and Pitfalls: Accountability and Transparency in Artificial Intelligence

摘要

This article discusses a set of principles for accountability and transparency in AI as well as a set of antipatterns or harmful trends too often seen in deployed systems. It provides concrete suggestions for what can be done to shift the balance away from these antipatterns and toward more positive ones.