Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/338859 
Year of Publication: 
2025
Citation: 
[Journal:] Information Systems Frontiers [ISSN:] 1572-9419 [Volume:] 28 [Issue:] 1 [Publisher:] Springer US [Place:] New York, NY [Year:] 2025 [Pages:] 11-46
Publisher: 
Springer US, New York, NY
Abstract: 
The growing autonomy and self-learning abilities of advanced technologies alter the dynamics of human-AI interaction, while also raising important ethical concerns. This study calls for rethinking AI literacy to encompass additional abilities necessary for responsible human-AI interaction. Beyond enhancing efficiency and performance, research on AI literacy must address unintended consequences and risks, and thus requires a digital responsibility perspective. Through interviews with different groups of knowledge workers, the study outlines factors that enable and influence knowledge workers to interact responsibly with AI technologies. Our research uncovers tensions concerning the concept of AI literacy that may challenge responsible human-AI interaction. These concern especially problems related to skill development and responsibility attribution. These problems emphasize the need for shared responsibilities and to ensure alignment between knowledge workers’ abilities and their roles – what we call the “role-ability fit.” We further offer recommendations to promote responsible human-AI interaction.
Subjects: 
AI literacy
Human-AI interaction
AI knowledge
Responsibility
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by Logo
Document Type: 
Article
Document Version: 
Published Version

Files in This Item:
File
Size





Items in EconStor are protected by copyright, with all rights reserved, unless otherwise indicated.