Aug 2026· New Directions for Student Leadership· Vol 2026, pp. 9 - 18· 0 citations· 27 references
Medicine
TL;DR
The article proposes the concept of the "augmented leader" and develops a four‐competency framework for AI‐integrated leadership: algorithmic literacy, strategic use of AI, ethical leadership and governance, and culture and adoption.
Abstract
Artificial intelligence (AI) is reshaping decision‐making and organizational life, yet leadership development in higher education has not evolved at the same pace. To address this gap, the article proposes the concept of the “augmented leader” and develops a four‐competency framework for AI‐integrated leadership: algorithmic literacy, strategic use of AI, ethical leadership and governance, and culture and adoption. Based on an integrative literature review and expert‐informed thematic synthesis, the framework offers a structured perspective on leadership in AI‐mediated environments. The article argues that higher education must embed AI as a core leadership capability, preparing students to lead effectively and responsibly in human–AI systems.
Comparing these scenario‐specific requirements with current AI literacy levels reveals substantial gaps in leadership and followership education, motivating a stronger emphasis on critical thinking and prompt literacy in development programs.
Maike Kugler, L. S. Aichroth· New Directions for Student L...· 0 citations
The paper presents the AI Literacy Leadership Framework (AILLF), which conceptualises AI literacy as a multidimensional leadership capability comprising technical, strategic, ethical, and applied dimensions that support four interconnected leadership domains: innovation, decision-making, ethical governance, and policy...
Alaa Mohasseb, Ronel Beukman, Andreas Kanavos· Applied Informatics· 0 citations
Drawing on research in organizational studies, higher and medical education, and library and school leadership, this article examines how AI transforms leadership practices, the resulting challenges, and implications for future leadership development.
Sarwar Khawaja· International Journal of Ser...· 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 article presents an organizational reflection on how the non‐profit Jacobs Institute for Innovation in Education (JI) navigates the intricacies of innovation and leadership in the time of generative AI. By examining JI's multi‐stage initiatives, through relational and collaborative leadership lenses, we illustrate...
Carla Penha-Vasconcelos, Alma I. Behar, Nadiah S. Al-Gasem et al.· New Directions for Student L...· 0 citations
Sustainable AI integration depended on collective learning, organisational support and sustaining relational values such as trust, empathy, alongside professional accountability, according to middle leaders in Korean secondary schools.
Yoonjeong Lee, Mihyang Kim· Management in Education· 0 citations
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