The review has to investigate le current literature analyzing the impact of AI on the psichological we’ll being of workers. At least 60 references
Introduction
Brief overview of the growing integration of artificial intelligence (AI) in various industries
Importance of assessing the impact of AI on worker well-being
Objectives of the systematic review
Methodology
Explanation of the systematic review process
Criteria for inclusion and exclusion of studies
Search strategy for identifying relevant literature
Data extraction and synthesis methods
Theoretical Framework
Discussion on theoretical perspectives guiding the review
Identification of key constructs related to worker well-being in the context of AI integration
Impact of AI on Worker Well-being
Analysis of findings regarding the effects of AI on various aspects of worker well-being (e.g., job satisfaction, job security, work-life balance)
Identification of potential positive and negative impacts
Factors Influencing AI’s Impact on Worker Well-being
Examination of contextual factors shaping the relationship between AI and worker well-being (e.g., organizational culture, job characteristics, technological infrastructure)
Methodological Limitations and Future Directions
Critical appraisal of methodological approaches used in the reviewed studies
Suggestions for future research to address gaps and enhance understanding
Conclusion
Summary of key findings regarding the impact of AI on worker well-being
Implications for policymakers, employers, and workers
Final reflections on the broader implications of the review and avenues for further investigation
