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

Title data

Leyer, Michael ; Oberländer, Anna Maria ; Dootson, Paula ; Kowalkiewicz, Marek:
Decision-making with artificial intelligence : Towards a novel conceptualization of patterns.
In: 23rd Pacific Asia Conference on Information Systems (PACIS). - Dubai , 2020

Official URL: Volltext

Abstract in another language

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.

Further data

Item Type: Article in a book
Refereed: Yes
Keywords: Artificial Intelligence; AI; Decision-making; Patterns
Institutions of the University: Faculties > Faculty of Law, Business and Economics > Department of Business Administration
Research Institutions
Research Institutions > Affiliated Institutes
Research Institutions > Affiliated Institutes > Fraunhofer Project Group Business and Information Systems Engineering
Research Institutions > Affiliated Institutes > FIM Research Center Finance & Information Management
Result of work at the UBT: Yes
DDC Subjects: 000 Computer Science, information, general works > 004 Computer science
300 Social sciences > 330 Economics
Date Deposited: 06 Jul 2020 07:37
Last Modified: 06 Jul 2020 07:37
URI: https://eref.uni-bayreuth.de/id/eprint/55695