Codesigning AI with end-users: an AI literacy toolkit for nontechnical audiences
File(s)
Published version
Author(s)
Smith, Freya
Sadek, Malak
Wan, Echo
Ito, Akira
Mougenot, Céline
Type
Journal Article
Abstract
This study addresses the challenge of limited AI literacy among the general public hindering effective participation in AI codesign. We present a card-based AI literacy toolkit designed to inform nontechnical audiences about AI and stimulate idea generation. The toolkit incorporates 16 competencies from the AI Literacy conceptual framework and employs ‘What if?’ prompts to encourage questioning, mirroring designers’ approaches. Using a mixed methods approach, we assessed the impact of the toolkit. In a design task with nontechnical participants (N = 50), we observed a statistically significant improvement in critical feedback and breadth of AI-related questions after toolkit use. Further, a codesign workshop involving six participants, half without an AI background, revealed positive effects on collaboration between practitioners and end-users, fostering a shared vision and common ground. This research emphasizes the potential of AI literacy tools to enhance the involvement of nontechnical audiences in codesigning AI systems, contributing to more inclusive and informed participatory processes.
Date Issued
2025-09-01
Date Acceptance
2024-07-01
Citation
Interacting with Computers, 2025, 37 (5), pp.444-456
ISSN
0953-5438
Publisher
Oxford University Press (OUP)
Start Page
444
End Page
456
Journal / Book Title
Interacting with Computers
Volume
37
Issue
5
Copyright Statement
© The Author(s) 2024. Published by Oxford University Press on behalf of The British Computer Society. All rights reserved.
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (https://creativecommons.org/
licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
For commercial re-use, please contact journals.permissions@oup.com
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (https://creativecommons.org/
licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
For commercial re-use, please contact journals.permissions@oup.com
License URL
Identifier
http://dx.doi.org/10.1093/iwc/iwae029
Publication Status
Published
Article Number
iwae029
Date Publish Online
2024-07-22