An Analysis of Artificial Intelligence's Integration into HR Procedures and Its Effect on Organizations

Richa  Vairagi

Abstract

Modern HRM is changing quickly because to artificial intelligence (AI), which helps businesses automate repetitive tasks, make better decisions, and boost employee satisfaction. The way businesses handle their personnel has been profoundly impacted by the incorporation of AI technology like chatbots, predictive analytics, and automated recruitment systems. This study aims to examine the extent of Artificial Intelligence adoption in Human Resource practices and to analyze its impact on organizational efficiency and employee experience. The study's primary data came from 100 respondents who worked for different companies. Descriptive statistical analysis was used to interpret the data, and a Chi-Square test was applied to examine the relationship between AI adoption and perceived HR effectiveness. The results show that a sizable percentage of businesses have already incorporated AI technologies into HR operations, especially in hiring, training, and employee engagement. Among the most popular AI tools are chatbots and predictive analytics systems. The results further reveal that AI adoption contributes to faster query resolution, improved hiring quality, and reduced administrative workload. However, adoption is still hampered by issues including a lack of experience, worries about data protection, and the need for financial commitment. The Chi-Square analysis confirms a significant relationship between AI adoption and perceived organizational effectiveness, suggesting that AI-driven HR systems positively influence operational efficiency and strategic workforce management. The study comes to the conclusion that, when applied ethically and under human supervision, artificial intelligence has the ability to greatly improve HR operations. Future research may explore industry-specific AI adoption patterns and the long-term impact of AI- enabled HR systems on organizational culture and employee engagement.

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