2.5

CiteScore

8.8

Global Impact Factor

HUMANISTIC LEADERSHIP IN THE AGE OF ARTIFICIAL INTELLIGENCE: A HUMAN-CENTRED GOVERNANCE AND MEASUREMENT FRAMEWORK FOR AI-ENABLED ORGANIZATIONS


Paper ID: EIJTEM_2026_13_3_85-103

Author's Name: Ignacio Bonasa Alzuria

Volume: 13

Issue: 3

Year: 2026

Page No: 85-103

Abstract:

Artificial intelligence (AI) is expanding organizational analytical capacity while redistributing decision power across models, data, interfaces and vendors. This article examines how leadership can govern that redistribution without reducing responsible AI to technical control or regulatory compliance. Using a structured integrative review and conceptual theory-building approach, it synthesizes humanistic management, human-centred AI, responsible AI governance, meaningful work, psychological safety and Industry 5.0. The article develops the Humanistic Leadership in Artificial Intelligence (HLAI) Framework, an eight-domain governance architecture linking technological capability to human, organizational and societal outcomes. Its original contribution lies in three integrations that existing frameworks generally treat separately: dignity and meaningful work as design criteria; leadership behaviour and decision rights as implementation mechanisms; and a proposed Humanistic AI Leadership Index (HAILI) as a measurement architecture. The framework is positioned explicitly against NIST AI RMF, ISO/IEC 42001, Shneiderman’s human-centred AI and Industry 5.0, showing that HLAI complements rather than duplicates them. Twelve empirically testable propositions and a staged implementation roadmap are offered. The study does not claim psychometric validation; instead, it establishes a transparent basis for subsequent scale development and comparative research in engineering and technology management.

Keywords: humanistic leadership; artificial intelligence; HLAI Framework; Humanistic AI Leadership Index; responsible AI; augmented judgment; Industry 5.0; organizational flourishing; ethical governance; human-AI collaboration

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