Reimagining teaching and curriculum in the age of AI: A multi-layer stewardship model for management education

Generative AI is reshaping management education both as a classroom tool and a socio-technical actor that redistributes exposure, authority, and assessment across programmes. Integrating Actor–Network Theory and Critical Pedagogy, we conceptualise AI stewardship as a multi-layer governance-and-pedagogy framework that coordinates design choices at the infrastructure (procurement, platform defaults, recommender objectives, data rights), classroom (auditable and dialogical use through task and assessment design), and programme levels (coherence and exposure diversity across courses). We synthesise five testable propositions and advance a nested-layer stewardship model that translates key risks, including algorithmic monoculture, interface-driven authority, and hidden labour/data provenance, into actionable levers, including process-evidence assessment, diversity-aware recommenders, discrepancy reconciliations, and ethical procurement. The paper contributes an integrated ANT × Critical Pedagogy approach for evaluating stewardship mechanisms and designing AI-mediated learning environments where AI augments human judgement, pluralism, and accountability.