Project Abstract

Abstract
The integration of artificial intelligence (AI) in human resource management has revolutionized employee recruitment and selection processes in organizations worldwide. This research study aims to investigate the impact of AI technologies on these crucial HR functions and explore the implications for both employers and job seekers. The study will delve into the various AI tools and systems used in recruitment and selection, such as AI-powered resume screening, chatbots for candidate engagement, and predictive analytics for talent acquisition. The research will begin with an introduction to the significance of AI in HR, highlighting the growing trend of AI adoption in recruitment and selection practices. A comprehensive review of the existing literature will provide insights into the benefits and challenges associated with AI implementation in HR processes. The study will also examine the ethical considerations and potential biases that may arise from using AI in recruitment and selection. The research methodology will involve a mixed-methods approach, combining quantitative data analysis of AI usage in recruitment with qualitative interviews with HR professionals and job applicants. Surveys will be conducted to gather feedback on the perceived effectiveness of AI tools in streamlining recruitment processes and enhancing decision-making. The findings of the study are expected to shed light on how AI is transforming traditional recruitment and selection practices, leading to increased efficiency, cost savings, and improved candidate experiences. The discussion of findings will explore the implications of AI integration on HR professionals, organizational strategies, and workforce diversity. In conclusion, this research will provide valuable insights into the evolving role of AI in HR, offering recommendations for organizations looking to leverage AI technologies for competitive advantage in talent acquisition. The study aims to contribute to the growing body of knowledge on AI in human resource management and inform future research directions in this dynamic field.

Project Overview