Patterns and Antipatterns, Principles, and Pitfalls: Accountability and Transparency in Artificial Intelligence
Year: 2020
Type: article
Abstract: 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.
Source: AI Magazine
Author: Jeanna Matthews
Institution: Clarkson University
Language: English
Subfield: Safety Research
Field: Social Sciences
Domain: Social Sciences
Open Access status: bronze
OpenAlex ID: W3017645313