Human Resource Management in the Age of Artificial Intelligence: Preventing Organizational Stupidity Through Reflective Governance in Moroccan Public Administrations

Authors

  • Salma EL KHOCHAII Faculty of Economics and Management of Settat, of settat, Université Hassan Premier, Settat, Maroc
  • Mohamed HAISSOUNE Faculty of Economics and Management of Settat, of settat, Université Hassan Premier, Settat, Maroc

Keywords:

Human Resource Management (HRM), Artificial Intelligence, Organizational Stupidity, Reflexive Governance, Moroccan Public Administration

Abstract

The integration of artificial intelligence (AI) into Moroccan public administrations aims to modernize public policy, but raises a paradox: optimizing decision-making while risking the erosion of critical judgment. While the automation-augmentation dilemma, organizational stupidity, and HR regulation have been studied separately, few studies have examined them together in the Moroccan administrative context. This article fills this gap by addressing the following question: How can the HR function steer reflective governance of AI in the Moroccan public sector to limit the risk of organizational stupidity and foster collective intelligence? The data, collected from 101 public servants using a structured Likert-scale questionnaire and analyzed using hierarchical regressions with an interaction term, indicate that augmentative AI reduces organizational stupidity (β = -0.261; p < 0.01), whereas automation increases it (β = 0.412; p < 0.001). The inclusion of HR governance significantly improves the model’s fit (R² = 0.512; ΔR² = 0.033; p = 0.041) and mitigates the adverse effect of automation by preserving professional autonomy.

JEL Classification: M12 M15 O33 H83

Paper Type: Empirical research (quantitative approach).

Published

2026-09-25

How to Cite

EL KHOCHAII, S., & HAISSOUNE, M. (2026). Human Resource Management in the Age of Artificial Intelligence: Preventing Organizational Stupidity Through Reflective Governance in Moroccan Public Administrations. International Journal of Accounting, Finance, Auditing, Management and Economics, 7(11), 829–845. Retrieved from https://ijafame.org/index.php/ijafame/article/view/2664

Issue

Section

Articles