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CALL FOR PAPERS JANUARY 2026

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Submission last date: 20th January 2026

Reimagining the psychological contract AI in hr and employee trust

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Author: 
Dr. Uma Maheswari, A.
Page No: 
10245-10250

Introduction: The integration of AI into HRM is transforming the psychological contract by changing employee perceptions of fairness, trust, and organizational commitment. AI-driven automation in recruitment, performance evaluation, and monitoring reshapes employer-employee relationships, challenging traditional expectations of transparency and reciprocity. Rationale: AI enhances HR precision and personalization but introduces challenges like opaque decision-making, algorithmic bias, and reduced human judgment, which threaten employee trust and may weaken psychological contracts. Objective: The study aims to examine how AI-integrated HRM affects the psychological contract, focusing on the influence of transparency, consistency, and accountability on employee trust. The study proposes the AI–Psychological Contract Fit Model to align technological efficiency with ethical and human-centric HR practices. Methodology: Adopting a conceptual research design, the study synthesizes insights from three foundational theoretical perspectives: Psychological Contract Theory (Rousseau, 1989), Social Exchange Theory (Blau, 1964), and the Trust in Automation Framework (Hoff & Bashir, 2015). Through a critical review of contemporary academic literature, the paper constructs an integrative model that brings together AI-enabled HR functions, ethical oversight mechanisms, and the indispensability of human agency in organizational decision-making. Findings: The conceptual analysis reveals that employee acceptance of AI in HRM is significantly shaped by the perceived fairness, clarity, and justification of automated decisions. When these factors are adequately addressed, AI can reinforce positive psychological contract outcomes and enhance organizational loyalty. Conversely, lack of transparency or perceived bias in algorithmic processes may erode trust, triggering disengagement and opposition to AI-driven interventions. Conclusion: The AI–Psychological Contract Fit Model provides a strategic lens through which organizations can navigate the integration of AI in HRM, with an emphasis on ethical stewardship, transparency, and collaborative decision-making. By aligning technological implementation with the psychological expectations of employees, the model supports the development of resilient, trust-based employment relationships.

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