Communicating the Limitations of AI: The Effect of Message Framing and Ownership on Trust in Artificial Intelligence

Trust plays an essential role in the interaction between humans and artificial intelligence (AI). To promote trust in AI, information about the AI's performance should be communicated well to the users. Accordingly, this paper investigates how information about AI performance should be presente...

Full description

Saved in:
Bibliographic Details
Published in:International journal of human-computer interaction Vol. 39; no. 4; pp. 790 - 800
Main Authors: Kim, Taenyun, Song, Hayeon
Format: Journal Article
Language:English
Published: Norwood Taylor & Francis 25.02.2023
Lawrence Erlbaum Associates, Inc
Subjects:
Artificial intelligence
Between-subjects design
Communication
Decisions
Frame analysis
Information
Messages
Negative information
Ownership
Trust
ISSN:1044-7318, 1532-7590, 1044-7318
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Trust plays an essential role in the interaction between humans and artificial intelligence (AI). To promote trust in AI, information about the AI's performance should be communicated well to the users. Accordingly, this paper investigates how information about AI performance should be presented, focusing on message framing and the ownership of decisions. A 2 (ownership: no ownership vs. ownership) × 3 (message framing: no information vs. negative information vs. positive information) between-subjects experiment was conducted (N = 120). Participants were asked to choose items to help them survive in the desert, supported by an AI decision. The results showed that participants without decision ownership perceived higher trust than those with decision ownership. Also, trust was perceived to be higher when participants were not given performance information than when they were. The results indicate the importance of carefully communicating with AI. The implications of this study are discussed.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:1044-7318
1532-7590
1044-7318
DOI:10.1080/10447318.2022.2049134