Ethical Leadership in AI-Enabled Distributed Work Environments

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Authors: Jenny Patricia Vargas Portillo
Cited by: 0
References: 22

Abstract

The convergence of artificial intelligence (AI) and distributed work has transformed how organizations function and how leaders guide their teams. As AI becomes embedded in digital workplaces, it improves decision-making, coordination, and knowledge sharing while simultaneously creating profound ethical challenges. This chapter examines how leaders can navigate these complexities by integrating technological literacy with ethical reasoning and relational sensitivity. Drawing on frameworks such as Complexity Leadership Theory, ambidextrous leadership, and systems thinking, it explores how AI can both enable and constrain human potential in dispersed organizational settings. The discussion highlights key ethical issues—including transparency, privacy, accountability, and bias—and offers practical guidance for encouraging responsible AI adoption. Ultimately, the chapter argues that effective leadership in AI-enabled distributed work must balance efficiency with empathy, ensuring that technological progress supports human flourishing.

Fields of Study & Subjects

Corporate Management and Leadership Ethics and Social Impacts of AI Ethics in Business and Education

Publication details

Journal / source
IGI Global eBooks
Pages
91–116
Publication date
14 January 2026
Language
NG
Document type
Book chapter