Decision-making with artificial intelligence: Towards a novel conceptualization of patterns

Authors

Michael Leyer, University of Rostock, RostockFollow
Anna Oberlaender, FIM Research Center, University of BayreuthFollow
Paula Dootson, Queensland University of TechnologyFollow
Marek Kowalkiewicz, Queensland University of Technology, 2 George St, Brisbane City QLD 4000, AustraliaFollow

Abstract

The rapidly increasing amount of data available in society and business drives the development of Artificial Intelligence (AI). As the number of AI-based services is increasing, customers delegate intimate and relevant decisions to AI. However, current literature lacks understanding of what patterns of decision-making processes with AI involved exist, and it remains unclear how to structure and classify AI-based services accordingly. Therefore, we present and evaluate a set of seven patterns of decision-making processes with AI involved. Building on decision-making theory as justificatory knowledge, we focus on the business-to-customer context to provide a novel perspective on the interactions of customers with AI. We apply the patterns to real-world examples of companies offering AI-based services. Our work contributes to the descriptive knowledge of AI and decision-making theory providing a foundation for future research and supporting practitioners in designing AI-based services.

Recommended Citation

Leyer, Michael; Oberlaender, Anna; Dootson, Paula; and Kowalkiewicz, Marek, "Decision-making with artificial intelligence: Towards a novel conceptualization of patterns" (2020). PACIS 2020 Proceedings. 224.
https://aisel.aisnet.org/pacis2020/224