Knowing Enough to Be Dangerous: The Problem of “Artificial Certainty” for Expert Authority When Using AI for Decision Making and Planning

The authors thank DaJung (DJ) Woo for incredible work on data collection that made this paper possible. Matthew Jones provided comments that helped us to theorize the model of/model for distinction, and Steve Barley, Ruthanne Huising, Samantha Ortiz, Marjolaine Rostain, Nicholas Occhiuto, Pauli Pakarinen, and Pedro Monteiro also gave sound advice and counsel on many of the ideas herein. The paper also benefited from feedback from members of several workshops, including those at UCSB’s Technology and Organizations Research Seminar and Organization Theory Research Group. Senior editor Andrew Nelson and three anonymous reviewers provided feedback that greatly improved this article.