Article

Artificial Intelligence Approximates Human Affect Ratings of Cannabis Images

2025-11-17

Abstract excerpt

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 parallel the four...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: baff863b-9c54-5f38-9fc5-92250aec0fbd
DOI: 10.1101/2025.11.14.25339699

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Artificial Intelligence Approximates Human Affect Ratings of Cannabis ImagesDOI 10.1101/2025.11.14.25339699Read

Using AI to Generate Affective Images: Methodology and Initial LibrarySemantic proximity Read

Weed Out the Risk: Pharmacovigilance in Medical Cannabis UsersSemantic proximity Read

Generative AI as digital therapy: What we know and how to make it better?Semantic proximity Read

Safety Evaluation of a Generative AI Agent for Anxiety and Depression SymptomsSemantic proximity Read

The Potential of Synthetic Twin Agents for Personalized Behavioural Interventions at ScaleSemantic proximity Read

The Potential of Synthetic Twins for Personalized Behavioural Interventions at ScaleSemantic proximity Read

Early Experiments with Generative AI in a Digital Therapeutic for IBS: Impact on Retention, Therapeutic Alliance, Efficacy, and User SatisfactionSemantic proximity Read

Generative artificial intelligence in mental health: A preliminary study on automating materials development for cognitive bias modification.Semantic proximity Read

Emotional Responses to Naturalistic and AI-generated Affective Pictures: A Systematic ComparisonSemantic proximity Read