Article
AI in the Hands of Imperfect Users
NJP Digital Medicine
(2022)
Abstract
As the use of artificial intelligence and machine learning (AI/ML) continues to expand in healthcare, much attention has been given to mitigating bias in algorithms to ensure they are employed fairly and transparently. Less attention has fallen to addressing potential bias among AI/ML’s human users or factors that influence user reliance. We argue for a systematic approach to identifying the existence and impacts of user biases while using AI/ML tools and call for the development of embedded interface design features, drawing on insights from decision science and behavioral economics, to nudge users towards more critical and reflective decision making using AI/ML.
Disciplines
Publication Date
December 28, 2022
DOI
https://doi.org/10.1038/s41746-022-00737-z
Citation Information
Kristin M. Kostick-Quenet and Sara Gerke. "AI in the Hands of Imperfect Users" NJP Digital Medicine (2022) Available at: http://works.bepress.com/sara-gerke/89/