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Conceptual framework reveals generative AI produces compliant subjects in leadership education, highlighting how decolonial trickster pedagogies challenge traditional authority.
This paper critiques generative AI in leadership education as an instrument of optimization, where summarizing, coaching, and personalizing risk producing fluent, compliant leadership subjects while narrowing ethical inquiry. It develops Trickster AI, a speculative pedagogical framework informed by Ananse, Èṣù, and Māui, where contradiction, delay, reversal, humor, and refusal expose hidden premises of authority. The paper reframes friction as culturally situated and politically consequential; develops refusal as epistemic, procedural, and care-based practice; and proposes Leadership Through Rupture, where contradiction becomes information. It also addresses cultural extraction through consent, co-design and Indigenous data governance. A companion paper details implementation.
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Ofosu-Asare et al. (2026) studied this question.
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