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How does responsible AI influence healthcare employee AI collaboration and engagement? The role of AI trust and responsible leadership

  • Zahid Hameed
  • , Hadeel Alsaleh
  • , Priyanka Malik
  • , Sushant Kumar Vishnoi
  • Princess Nourah Bint Abdulrahman University
  • Galgotias University
  • Institute of Management Studies (IMS) Ghaziabad - B School

Research output: Contribution to journalArticlepeer-review

Abstract

AI technologies have transformed business operations, improving efficiency and effectiveness. Responsible Artificial Intelligence (RAI) prioritises ethics and responsibility in AI development and deployment, creating a more trustworthy and transparent organization. However, there is a paucity of studies regarding the effects of RAI on healthcare employee outcomes, particularly AI engagement. This study examines how RAI influences AI trust, which, in turn, drives AI collaboration and AI engagement of healthcare employees. We also examine the moderating role of responsible leadership on RAI and AI trust. We obtained data from healthcare organisations to test our hypotheses. Drawing on the Stimulus-Organism-Response (S-O-R) framework, our results indicate that AI trust mediates the influence of RAI on employee AI collaboration and AI engagement. Our research highlights the crucial role of trust in AI implementation, suggesting that firms that prioritize RAI practices are more likely to cultivate a motivated and engaged workforce. These conclusions offer significant implications for management practices and future research on RAI and employee outcomes in healthcare.

Original languageEnglish
Article number124651
JournalTechnological Forecasting and Social Change
Volume227
DOIs
StatePublished - Jun 2026

Keywords

  • AI collaboration
  • AI engagement
  • AI trust
  • Responsible artificial intelligence
  • Responsible leadership

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