Motivated Trust in AI: An Integrative Model Considering Multiple Stakeholder Views in HRM [Motiviertes Vertrauen in AI: Ein integratives Modell, das die Sichtweise mehrerer Interessengruppen im HRM berücksichtigt]

Hertel, Guido; Fisher, Sandra L.; Van Fossen, Jenna

Abstract

Artificial Intelligence (AI) is increasingly used across human resource management (HRM) functions, yet successful integration is contingent upon these tools being trusted within the organizations. Whereas longstanding cognitive models of trust have been extended to technology and AI as references of trust, motivational influences on trust in technologies have been neglected thus far. However, the consideration of motivational drivers is particularly important to understand and predict different stakeholder views on trust in AI. We integrate cognitive frameworks of trust in AI with more recent approaches of trust motivation stemming from interpersonal trust research. Based on this new integrative model, we specify motivational drivers and cognitive processes for trust in AI for four separate HRM stakeholder perspectives: the employer, decision makers, decision targets, and HR professionals. Particularly the perspective of HR professionals has been neglected so far, despite the fact that this group is often closely involved with the implementation of AI systems and may see considerable changes to their job tasks after AI adoption. We discuss the theoretical implications of the different stakeholder perspectives for future research and outline specific practical implications of our integrative model.