Titelangaben
Leyer, Michael ; Oberländer, Anna Maria ; Dootson, Paula ; Kowalkiewicz, Marek:
Decision-making with artificial intelligence : Towards a novel conceptualization of patterns.
In:
Proceedings of the 23th Pacific Asia Conference on Information Systems (PACIS). -
Dubai, United Arab Emirates
,
2020
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.
Weitere Angaben
Publikationsform: | Aufsatz in einem Buch |
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Begutachteter Beitrag: | Ja |
Keywords: | Artificial Intelligence; AI; Decision-making; Patterns |
Institutionen der Universität: | Fakultäten > Rechts- und Wirtschaftswissenschaftliche Fakultät > Fachgruppe Betriebswirtschaftslehre Forschungseinrichtungen Forschungseinrichtungen > Institute in Verbindung mit der Universität Forschungseinrichtungen > Institute in Verbindung mit der Universität > Projektgruppe Wirtschaftsinformatik der Fraunhofer FIT Forschungseinrichtungen > Institute in Verbindung mit der Universität > FIM Kernkompetenzzentrum Finanz- & Informationsmanagement Fakultäten Fakultäten > Rechts- und Wirtschaftswissenschaftliche Fakultät |
Titel an der UBT entstanden: | Ja |
Themengebiete aus DDC: | 000 Informatik,Informationswissenschaft, allgemeine Werke > 004 Informatik 300 Sozialwissenschaften > 330 Wirtschaft |
Eingestellt am: | 06 Jul 2020 07:37 |
Letzte Änderung: | 04 Aug 2022 05:59 |
URI: | https://eref.uni-bayreuth.de/id/eprint/55695 |