Sep 2026· New Directions for Student Leadership· Vol 2026, pp. 65 - 74· 0 citations· 30 references
Medicine
TL;DR
Trickster AI is developed, a speculative pedagogical framework informed by Ananse, Èṣù, and Māui, where contradiction, delay, reversal, humor, and refusal expose hidden premises of authority.
Abstract
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.
This article presents a technical architecture and classroom protocols for Trickster AI, an approach to generative AI in leadership education that prioritizes epistemic friction over optimization. Building on a companion paper, it operationalizes trickster pedagogy through a five‐layer system: pedagogical policy, cultu...
Yaw Ofosu-Asare, Rebecca Ailís Nally· New Directions for Student L...· 0 citations
This research paper examines how generative AI is accelerating an existing crisis of trust in higher education teaching and learning. While AI is often positioned as either a transformative opportunity or an existential threat, these polarised narratives obscure deeper epistemic and pedagogical fractures. Drawing on El...
This paper interrogates the political and philosophical stakes of AI through the lens of cyborg theory cosmotechnics and glitch feminism. It advocates for a tech-positive critically situated approach to AI as a collaborator and substrate for power relations rather than an autonomous agent of harm. By rejecting the naiv...
This essay attempts to critically examine the Common University Entrance Test (CUET) as implemented under NEP 2020, highlighting its structural flaws and impact on higher education. While intended to democratise access, CUET has instead exposed systemic weaknesses: poorly drafted question papers privileging rote learni...
Devjani Ray· Economic & Political Wee...· 0 citations
This article presents the artificial intelligence pedagogical partnership model (AIPPM), a framework grounded in Fink's (2003) Taxonomy of Significant Learning and operationalized through nine experiential activities across diverse institutional contexts. Three distinct AI roles—Reflective Tool and Debate Partner, Co‐C...
D. Jenkins, Cristina de Mello-e-Souza Wildermuth, Kevin Bottomley et al.· New Directions for Student L...· 0 citations
This perspective piece offers a theoretical and pedagogical framework for delivering meaningful social justice education in medical curricula, grounded in the design of an anti-discrimination pilot programme for undergraduate medical students. Drawing on John Dewey, Paulo Freire, and bell hooks, we examine three contem...
N. Ganapathiram, Andy Guise· Frontiers in Medicine· 0 citations
A new computational approach reveals how cells communicate to assemble into tissues. This could accelerate stem cell engineering, improve disease models, and inform therapies.
MIT News · Artificial Intelligence· news.mit.eduOct 15, 2026
