What should AI know? Information disclosure in human-AI collaboration
Journal
European Conference on Information Systems (ECIS)
Type
conference paper
Date Issued
2022-06-18
Author(s)
Cvetkovic, Izabel
;
Oeste-Reiß, Sarah
;
Lehmann-Willenbrock, Nale
;
Bittner, Eva
Research Team
IWI6
Abstract
AI-assisted Design Thinking shows great potential for supporting collaborative creative work. To foster creative thinking processes within teams with individualized suggestions, AI has to rely on data provided by the teams. As a prerequisite, team members need to weigh their disclosure preferences against the potential benefits of AI when disclosing information. To shed light on these decisions, we identify relevant information such as emotional states or discussion arguments that design thinking teams could provide to AI to enjoy the benefits of its support. Using the privacy calculus as theoretical lens, we draft a research design to analyze user preferences for disclosing different information relevant to the service bundles that AI provides for respective information. We make explorative contributions to the body of knowledge in terms of AI use and its corresponding information disclosure. The findings are relevant for practice as they guide the design of AI that fosters information disclosure.
Language
English
Keywords
DesignThinking Human-AICollaboration InformationDisclosure UIDesign cepub itegpub pubsoe
HSG Classification
contribution to scientific community
Publisher place
Timisoara, Romania
Pages
13
Event Title
European Conference on Information Systems (ECIS)
Event Location
Timisoara, Romania
Event Date
18-24 Jun 2022
Subject(s)
Eprints ID
266254
File(s)![Thumbnail Image]()
open.access
Name
JML_878.pdf
Size
291.79 KB
Format
Adobe PDF
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