AI Applications for Organizational Learning and Development: An Interdisciplinary Approach

Martin Sposato, Zayed University

Document Type

Book Chapter

Source of Publication

Contributions to Management Science

Publication Date

1-2-2026

Abstract

This chapter explores the transformative role of artificial intelligence (AI) in organizational learning and development (L&D) through an interdisciplinary lens. It traces the evolution of L&D practices, examines current AI applications, and anticipates future trends in this rapidly evolving field. The chapter delves into how AI technologies, including machine learning, natural language processing, and adaptive learning systems, are revolutionizing traditional L&D processes. It addresses the ethical considerations and challenges associated with AI implementation, such as data privacy, algorithmic bias, and the changing nature of work. The interdisciplinary nature of AI in L&D is emphasized, drawing insights from fields including computer science, cognitive psychology, and organizational behavior. The chapter concludes by discussing emerging trends and innovations, highlighting the potential for AI to create more personalized, efficient, and effective learning experiences in organizational settings. Throughout, it underscores the importance of maintaining a human-centered approach in leveraging AI for L&D, aiming to augment and enhance human capabilities rather than replace them.

ISSN

1431-1941

Publisher

Springer Nature Switzerland

Volume

Part F5012

First Page

101

Last Page

116

Disciplines

Computer Sciences

Keywords

Adaptive learning systems, Artificial intelligence (AI), Ethical AI, Interdisciplinary approach, Organizational learning and development (L&D)

Scopus ID

105026706909

Indexed in Scopus

yes

Open Access

no

Link to Full Text

Share

COinS