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

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

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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
https://aisel.aisnet.org/pacis2020/
ISBN: 978-1-7336325-3-9
Pacific Asia Conference on Information Systems (PACIS) <24, 2020, Dubai/cancelled>
English
Conference Paper, Electronic Publication
Fraunhofer FIT ()

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

: http://publica.fraunhofer.de/documents/N-602843.html