Leveraging Artificial Intelligence to Address Cross-Cultural Workplace Bullying Among International Students in Australia

International Journal of Global Economics and Management, Journal Year: 2024, Volume and Issue: 3(1), P. 332 - 341

Published: May 9, 2024

Workplace bullying is a pervasive issue with significant psychological, emotional, and professional repercussions for individuals, particularly in culturally diverse environments. This study explores the potential of artificial intelligence (AI) to address cross-cultural workplace experienced by international students Australia. By leveraging AI technologies such as natural language processing (NLP), sentiment analysis, machine learning, organizations can enhance identification, prevention, intervention behaviors. The literature review provides comprehensive overview bullying, emphasizing additional complexities introduced cultural diversity. Case studies empirical analyses demonstrate practical application efficacy AI-driven strategies, highlighting reductions incidents, improvements employee well-being, enhanced awareness. underscores importance ethical considerations, algorithm transparency, continuous training successfully implementing systems. findings offer valuable insights employers, policymakers, educators, contributing broader discourse on inclusivity safety.

Language: Английский

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AI and Your Job What’s Changing and What’s Next

Frontiers in Science and Engineering, Journal Year: 2024, Volume and Issue: 4(7), P. 116 - 124

Published: July 24, 2024

Artificial Intelligence (AI) has emerged as a transformative force, significantly impacting job roles and skill requirements across various industries. This paper comprehensively analyses AI's influence on the workforce, exploring current changes, evolving demands, future outlook, practical case studies. The study highlights automation of routine tasks, creation new roles, redefinition existing due to AI integration. It also delves into changing requirements, emphasizing growing importance technical, soft, hybrid skills. Additionally, examines predictions for market evolution, educational training implications, policy ethical considerations. illustrates implications through industry-specific examples success stories from leading companies. findings underscore need proactive adaptation, continuous learning, practices navigate complexities integration create where humans machines thrive.

Language: Английский

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Implementation Challenge of Artificial Intelligence in Human Resource Management for Employee Performance Monitoring Indonesia Companies Perspective

Published: Sept. 4, 2024

Language: Английский

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Artificial Intelligence and Remote Work: Transforming Human Resource Management in a Post-Pandemic World

Published: Dec. 4, 2024

Language: Английский

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