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

: Leyer, M.; Dootson, P.; Oberländer, A.M.; Kowalkiewicz, M.

Fulltext ()

Vogel, D. ; Association for Information Systems -AIS-:
24th Pacific Asia Conference on Information System, PACIS 2020. Proceedings. Online resource : Information Systems (IS) for the Future. 20th to 24 June 2020, Dubai
AIS Electronic Library (AISeL), 2020
ISBN: 978-1-7336325-3-9
Pacific Asia Conference on Information Systems (PACIS) <24, 2020, Dubai/cancelled>
Conference Paper, Electronic Publication
Fraunhofer FIT ()

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-ba sed services. © Proceedings of the 24th Pacific Asia Conference on Information Systems: Information Systems (IS) for the Future, PACIS 2020.