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Demonstrates how AI can co-create and redefine media art in educational settings, suggesting new creative possibilities.
This paper presents Media Farm, a framework for AI-based reinterpretation and generation of conceptual media art, inspired by Marshall McLuhan’s Tetrad and the practices of Ant Farm. Our approach revitalizes McLuhan’s media theory by integrating it with Ant Farm’s critique of media culture, providing a systematic methodology for AI and human co-creative processes. We explore the effectiveness of this method in a practical educational setting, revealing both the potential and the challenges of integrating AI into creative media practices. This research demonstrates the potential of Large Language Models in redefining artistic creativity and education for computational media art.
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Lin et al. (2026) studied this question.
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