From Autopilot to Copilot: Navigating Trust and Fairness in the Age of AIDriven Human Resources

Details

Supervisors

Léonard, Evelyne

Faculty

Louvain School of Management

Degree label

Master [120] en sciences de gestion, à finalité spécialisée

Abstract

enThis research looks past the marketing hype to uncover how large Belgian enterprises are actually using Artificial Intelligence in Human Resources Management. By combining field observations with Social Exchange Theory and Organizational Justice, the study explores how algorithmic management impacts trust, fairness, and the core relationship between employees and employers. Based on thirteen in-depth interviews with HR, managers and operational staff, the findings reveal a deep gap between corporate promises and daily reality. Instead of creating a strategic revolution, AI currently acts as a "super administrative assistant", limited by cultural resistance, budgets, and strict privacy laws. A major concern highlighted by this research is the "Objectivity Paradox", the dangerous assumption that a neutral machine is perfectly fair. Relying on unclear algorithms risks dehumanizing the evaluation process and breaking workplace trust. To responsibly manage this digital change, the study recommends that organizations adopt a human-centered "Copilot" model, conduct strategic audits before purchasing software, and train managers in algorithmic literacy. Ensuring that technology supports, rather than replaces, human dignity at work.