INSTIGATING RELIABILITY OF ARTIFICIAL INTELLIGENCE BY EMBRACING IDEAS IN MANAGING WORKFORCE

Abstract

Purpose/objectives of the study: This study discovers the role of AI in improving workforce reliability by integrating AI-driven strategies for workforce management.

Methodology: Mixed-method approach has been adopted to examine how embracing AI-driven ideas enhance reliability in workforce management.Cronbach’s alpha testhas been applied to analyze the reliability of the questionnaire and KMO test is used to ascertain the sampling adequacy. Correlation and mediation analysis is used for this research to analyze the findings of the study.

Findings: The adoption of artificial intelligence can be enhanced with the help of building trust among the employees and managing the workforce. The latest innovative tools of technology namely artificial intelligence, machine learning, deep learning, robotics, and algorithms can potentially create rapid growth in the organization's successful development.This highly creative technology has significantly transformed the work performed by the employees and organizing the work process.

Research implications: The organizations need to provide a framework for evaluating the role of AI in enhancing productivity, workforce stability, and engagement. The management and HRdepartment should help in designing AI-based performance assessment, and task allocation systems.

Novelty of the study: According to the review of literature most of the research was concentrated AI in HRM, building trust in different areas. But this study focused on instigating reliability of AI by embracing ideas in managing workforce.