Patterns and Anti-Patterns, Principles and Pitfalls: Accountability and Transparency in AI

  • Jeanna Matthews Clarkson University

Abstract

This article discusses a set of principles for accountability and transparency in artificial intelligence 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.

Published
2020-04-13
How to Cite
Matthews, J. (2020). Patterns and Anti-Patterns, Principles and Pitfalls: Accountability and Transparency in AI. AI Magazine, 41(1), 82-89. https://doi.org/10.1609/aimag.v41i1.5204
Section
Special Topic Articles