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In this article, I explore the intersection of Bateson’s epistemology, particularly his concept of the metalogue, with the applications of generative AI. I propose a creative, reflective, and playful approach to initiating a literature review by developing AI-generated metalogues that mimic Bateson’s recursive and performative style. Drawing from systems thinking and Bateson’s concept of bioentropy, I discuss the potential of AI to facilitate deeper engagement with academic texts. Rather than positioning AI as either a threat or a panacea, I frame it as a relational tool, one that can scaffold understanding, provoke inquiry, and support metacognitive learning when used appropriately. I present a practical method for prompting AI to generate Batesonian metalogues and reflect on their advantages and limitations. Through this work, I argue that mindful, creative, and methodologically informed integration of AI in research and study activities can enhance the practice and teaching of qualitative research
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Alexios Brailas (2026) studied this question.
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