GIFT-AI: Damn!.jpg—visual literacy through image-making with generative AI

This article addresses the growing need for AI literacy by introducing a classroom activity that combines critical theory with hands-on engagement using generative AI image tools. Students were guided through theoretical framing, image selection, AI experimentation, and group analysis. The activity emphasized how prompt design shapes visual outputs and explored the implications of generative systems through selected theoretical frameworks. It created opportunities for students to engage with the aesthetic and epistemological dimensions of AI-generated media. More broadly, he exercise high-lights how image-making can serve as both a critical and creative method for interrogating algorithmic systems across digital art, media education, visual culture, science and technology studies, and critical AI research. The following course framework outlines how the activity was implemented and contextualized within interdisciplinary learning environments.

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Publication Details

Journal
Frontiers in Education
Published
2025-09-29
DOI
https://doi.org/10.3389/feduc.2025.1621207
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
0.00
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article

GIFT-AI: Damn!.jpg—visual literacy through image-making with generative AI

Klara Källström
Frontiers in Education
Ethics and Social Impacts of AI
article

GIFT-AI: Damn!.jpg—visual literacy through image-making with generative AI

Klara Källström
article en

Abstract

This article addresses the growing need for AI literacy by introducing a classroom activity that combines critical theory with hands-on engagement using generative AI image tools. Students were guided through theoretical framing, image selection, AI experimentation, and group analysis. The activity emphasized how prompt design shapes visual outputs and explored the implications of generative systems through selected theoretical frameworks. It created opportunities for students to engage with the aesthetic and epistemological dimensions of AI-generated media. More broadly, he exercise high-lights how image-making can serve as both a critical and creative method for interrogating algorithmic systems across digital art, media education, visual culture, science and technology studies, and critical AI research. The following course framework outlines how the activity was implemented and contextualized within interdisciplinary learning environments.

Frontiers in EducationVol. 10
University of Gothenburg (SE)
Openalex Percentile: Top 74%
Ethics and Social Impacts of AI
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