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.
Emerging AI technologies are transforming work and redefining how leading and following unfold when humans collaborate with AI as tool, agent, teammate, and autonomous partner. This article uses an action‐based organizational learning scenario technique to develop four future workplace constellations: (1) AI as collabo...
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
The growing integration of artificial intelligence (AI) into organizational management has fundamentally transformed leadership practices. AI challenges traditional leadership paradigms and enables more adaptive, data-driven, and personalized approaches to leading teams and organizations. By leveraging AI, leaders can...
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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