Health AI Central
Peer-Reviewed Publication
medRxiv2025November 17, 2025Journal Article

Artificial Intelligence Approximates Human Affect Ratings of Cannabis Images.

Jacob T Borodovsky1,2, Richard J Macatee3, Sarah M Preum1,4, Caroline L Chung5, Porter Malone6, Denisse P Gonzalez-Marquez5
1Center for Technology and Behavioral Health, Dartmouth Geisel School of Medicine, Lebanon, NH, USA.
2Department of Biomedical Data Science, Dartmouth Geisel School of Medicine, Hanover, NH, USA.
3Department of Psychological Sciences, Florida State University, Tallahassee, FL, USA.
4Department of Computer Science, Dartmouth College, Hanover, NH, USA.
5Dartmouth College, Hanover, NH, USA.
6Virginia Polytechnic Institute and State University, Blacksburg, VA, USA.
PubMed PMC DOI PDF

Abstract

Cannabis imagery is proliferating online and can elicit affective responses related to use. Scalable tools are needed to evaluate how this proliferation could influence population health. This pilot study tested whether multimodal generative artificial intelligence (MGAI) can reproduce subjective human affect ratings of cannabis images. Four MGAI agents (model: gpt-4o-2024-11-20) were created to p…

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