Beyond The Hype: Evidence-Based Approaches To Responsible Ai Integration In Workplace Learning

Martin Sposato, Zayed University

Document Type

Article

Source of Publication

Education And Training

Publication Date

10-28-2025

Abstract

PurposeThis paper examines the integration of artificial intelligence (AI) in organizational training and development through an evidence-based lens, addressing the gap between technological enthusiasm and pedagogical effectiveness in workplace learning contexts. Design/methodology/approachAn integrative literature review methodology was employed following Torraco's (2016) framework for synthesizing diverse knowledge streams. The analysis examined 180 papers from multiple databases, combining theoretical frameworks from social cognitive theory (Bandura, 1986) and organizational learning theory (Dittmar et al., 2025) to develop an integrated conceptual framework. FindingsThe analysis reveals critical misalignments between current AI implementation practices and established learning principles. While AI demonstrates effectiveness in personalized content delivery and routine skill development, significant challenges emerge in supporting transformative learning and maintaining social learning dynamics. Cultural variations and ethical considerations substantially influence implementation success. Originality/valueThis paper contributes an integrated theoretical framework bridging individual and organizational learning perspectives in AI contexts, identifies specific gaps between technological capabilities and pedagogical requirements and proposes evidence-based guidance for practitioners navigating AI implementation decisions.

ISSN

0040-0912

Publisher

Emerald

Disciplines

Education

Keywords

Artificial intelligence, Training and development, Evidence-based practice, Workplace learning, Organizational learning theory

Indexed in Scopus

no

Open Access

no

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