Abstract
Nearly a decade after Leadership Misplacement: How Can This Affect Institutions of Higher Education?, the theory–practice divide has deepened and digitized. In AI-powered universities, administrative theater flourishes: leaders showcase dashboards, tech fluency, and equity slogans while lacking ethical, pedagogical, and conceptual competence. This article revisits the Wang–Russo model linking teaching philosophy, leadership theory, and practice, integrating Invisible Leadership (collective purpose, moral authenticity) and Performative Equity (symbolic gestures displacing reform). Using case analysis and conceptual synthesis, it contrasts invisible versus performative leadership under algorithmic visibility. Misused AI amplifies façades of competence while eroding trust, transparency, and shared governance. Restoring integrity requires leadership that unites data literacy with ethical discernment and human purpose. The Wang–Russo–AI Integration Model offers guidance to shift universities from stages of performance to genuine learning organizations grounded in integrity, expertise, and collective vision. This conceptual article contributes a reproducible governance framework that practitioners can implement immediately—pairing invisible leadership with responsible metrics and human-in-the-loop AI—to reduce administrative theater and restore shared governance.
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