In this section
@inproceedings{Smith:2023:ewic/BCSHCI2023.2,
author = {Smith, F and Sadek, M and Mougenot, C},
doi = {ewic/BCSHCI2023.2},
pages = {13--22},
title = {Empowering end-users in co-designing AI: an AI literacy card-based toolkit for non-technical audiences},
url = {http://dx.doi.org/10.14236/ewic/BCSHCI2023.2},
year = {2023}
}
TY - CPAPER
AB - While there are growing calls to involve end-users in designing AI, the limited understanding of AI’scapabilities among the general public hinders their effective participation in AI co-design. This studyaims to facilitate the participation of non-technical audiences in AI co-design through thedevelopment of a card-based AI literacy toolkit. The toolkit was designed (1) to inform users aboutAI by presenting 16 competencies extracted from the AI Literacy conceptual framework by Long andMagerko (2020), and (2) to support idea generation and questioning about AI through "What if?"prompts, as done by designers. The effects of the informative and generative toolkit were assessedusing a mixed methods approach. First, its impact on AI literacy was evaluated in a design taskwhere non-technical participants (N=50) generated questions about future AI systems. Resultsshowed a statistically significant increase in critical feedback, breadth, and frequency of AI-relatedkeywords in participants' responses after using the toolkit, indicating improved AI literacy. Second,the effects of the toolkit were examined in a co-design workshop involving a group of sixparticipants, half of whom without an AI background. Post-workshop interviews revealed positiveeffects on collaboration, including the development of a shared vision and common ground withinthe group. Both studies highlight the potential of AI literacy in enhancing the participation of non-technical audiences in co-designing AI with practitioners.
AU - Smith,F
AU - Sadek,M
AU - Mougenot,C
DO - ewic/BCSHCI2023.2
EP - 22
PY - 2023///
SN - 1477-9358
SP - 13
TI - Empowering end-users in co-designing AI: an AI literacy card-based toolkit for non-technical audiences
UR - http://dx.doi.org/10.14236/ewic/BCSHCI2023.2
UR - https://www.scienceopen.com/hosted-document?doi=10.14236/ewic/BCSHCI2023.2
UR - http://hdl.handle.net/10044/1/106176
ER -
Dyson School of Design Engineering
Imperial College London
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South Kensington
London
SW7 2DB
design.engineering@imperial.ac.uk
Tel: +44 (0) 20 7594 8888