Co‐Designing <scp>AI</scp> ‐Generated Vaping Awareness Materials With Adolescents and Young Adults: A Qualitative Study

AI tools can rapidly generate messages but an AI-co-design framework incorporating expert input and audience feedback is required to produce materials that are relevant, authentic, and evidence-based. This framework offers a promising pathway for developing timely, scalable responses to public health challenges such as youth vaping; though continued research is needed for effective and ethical implementation across diverse contexts.

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Publication Details

Journal
Drug and Alcohol Review
Published
2025-08-18
DOI
https://doi.org/10.1111/dar.70022
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
0.00

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article

Co‐Designing AI ‐Generated Vaping Awareness Materials With Adolescents and Young Adults: A Qualitative Study

Timo Dietrich, Jason P. Connor, Tesfa Mekonen Yimer, Tianze Sun et al.
Drug and Alcohol Review
Ethics and Social Impacts of AI
article

Co‐Designing AI ‐Generated Vaping Awareness Materials With Adolescents and Young Adults: A Qualitative Study

Timo Dietrich, Jason P. Connor, Tesfa Mekonen Yimer, Tianze Sun, Carmen Lim, Leanne Hides, Wayne Hall, Janni Leung, David Hammond, Daniel Stjepanović, Caitlin McClure‐Thomas, Giang Thu Vu, Gary Chan, Benjamin Johnson, Daniel Erku, Charlotte Russel
article en

Abstract

AI tools can rapidly generate messages but an AI-co-design framework incorporating expert input and audience feedback is required to produce materials that are relevant, authentic, and evidence-based. This framework offers a promising pathway for developing timely, scalable responses to public health challenges such as youth vaping; though continued research is needed for effective and ethical implementation across diverse contexts.

Drug and Alcohol ReviewVol. 45(1)
Griffith University (AU), University of Waterloo (CA), The University of Queensland (AU), Menzies School of Health Research (AU)
Australian Government, University of Sydney, University of Queensland, Medical Research Council, National Health and Medical Research Council
Openalex Percentile: Top 80%
Ethics and Social Impacts of AI
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