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

Authors

  • Jeanna Matthews Clarkson University

DOI:

https://doi.org/10.1609/aimag.v41i1.5204

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.

Additional Files

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

Issue

Section

Special Topic Articles