Due to necessary scheduled maintenance, the JMIR Publications website will be unavailable from Wednesday, July 01, 2020 at 8:00 PM to 10:00 PM EST. We apologize in advance for any inconvenience this may cause you.
Who will be affected?
Readers: No access to all 28 journals. We recommend accessing our articles via PubMed Central
Authors: No access to the submission form or your user account.
Reviewers: No access to your user account. Please download manuscripts you are reviewing for offline reading before Wednesday, July 01, 2020 at 7:00 PM.
Editors: No access to your user account to assign reviewers or make decisions.
Copyeditors: No access to user account. Please download manuscripts you are copyediting before Wednesday, July 01, 2020 at 7:00 PM.
Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.
Use of Artificial Intelligence for Substance Use-Related Information Among Young Adults in the US; A cross-sectional analysis
Mireia Triguero Roura;
Pia M Mauro
ABSTRACT
The rapid expansion of AI use among youth highlights the need to understand its role in substance-related information seeking. Findings indicate high prevalence of use for substance-related purposes, particularly for seeking information on risks and consequences. AI’s known limitations in accuracy, combined with high trust in outputs underscore the significant potential public health impact of AI-generated information.
Citation
Please cite as:
Triguero Roura M, Mauro PM
Use of Generative AI for Substance-Related Information Among Young Adults (Aged 18-29 Years) in the United States: Cross-Sectional Survey