AI and Employee Integrity in the Public Sector
The Roles of Trust, Values Alignment, Literacy and Job Complexity
Keywords:
Artificial Intelligence, Employee Integrity, AI Trust, Organizational Values Alignment, AI Literacy, Job ComplexityAbstract
As artificial intelligence (AI) increasingly underpins digital transformation in the public sector, its ethical implications for employee integrity demand critical attention. This study investigates the influence of AI-driven interventions on employee integrity through the mediating role of AI trust and organizational values alignment, while also exploring how AI literacy and job complexity moderate these relationships. Drawing on the Technology Acceptance Model (TAM), Social Exchange Theory (SET), and Person–Organization Fit (P–O Fit), the research proposes a multidimensional framework linking technological, psychological, and ethical mechanisms. This study conducted a quantitative survey involving 300 civil servants across regional government institutions, with data analyzed using SEM-PLS. Results reveal that AI-driven interventions significantly enhance AI trust, thereby strengthening organizational value alignment and promoting employee integrity. Mediation and moderation analyses confirm that AI literacy amplifies the trust–alignment link, where as job complexity weakens the alignment–integrity pathway. This study extends theoretical understanding by linking technology acceptance with ethical alignment in public governance. Practically, this study highlights the importance of fostering AI literacy, promoting ethical system design, and managing workload balance to ensure that AI adoption strengthens rather than compromises public integrity. The results position AI as both a moral and technological catalyst for sustainable digital governance.
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