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Enhancing Multicultural Employee Management through Artificial Intelligence |
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PP: 105-110 |
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Author(s) |
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George N. El-Rahbani,
Saud AlQannas,
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Abstract |
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| As workplaces grow increasingly globalized, effective multicultural management has become imperative, with artificial intelligence (AI) offering transformative potential to address this need. This article objectives to analyze how AI can enhance cross-cultural communication, reduce bias, and optimize training in diverse teams, while critically addressing challenges such as data privacy, algorithmic fairness, and ethical dilemmas. Employing a mixed-methods methodology, we integrate qualitative insights from multinational case studies with quantitative analysis of employee surveys and AI performance metrics to evaluate AI’s impact. Our main results will reveal how ethically designed AI systems, when paired with human oversight, can improve cross-cultural collaboration (quantitative) and reduce unconscious bias in decision-making , as evidenced by regression models. Qualitatively, case studies highlight AI-driven tools like real-time language translators and bias-detection algorithms fostering inclusivity, though cultural nuances require human-AI synergy. We further identify that organizations prioritizing diverse training data and leadership accountability achieve higher employee satisfaction scores. However, risks such as privacy breaches and over-reliance on automation underscore the need for robust governance frameworks. By bridging technical capabilities with cultural intelligence, this study demonstrates that AI, when strategically and ethically deployed, augments human-led strategies to build cohesive, efficient multicultural teams. These findings offer actionable insights for policymakers and organizational leaders aiming to harmonize technological innovation with equitable workplace practices. |
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