This research paper explores the integration of Artificial Intelligence (AI) into video interviewing, focusing on behavioral analysis and decision-making in recruitment. With advancements in machine learning, computer vision, and natural language processing, AI-powered systems can now assess facial expressions, voice tone, body language, and speech patterns to evaluate candidates more accurately. This paper discusses the advantages of AI-enhanced video interviews, such as improved efficiency, reduced bias, and scalability. It also highlights ethical challenges, concerns of privacy, and potential algorithmic biases. Through primary data collection, statistical analysis, and hypothesis testing, the study evaluates the effectiveness of AI-based behavioral assessments in comparison to traditional interviews. The paper also provides recommendations for HR professionals on adopting such technologies responsibly. By identifying research gaps and offering a practical roadmap, this study contributes to understanding how AI can support more data-driven, fair, and efficient hiring decisions in today’s rapidly evolving job market.
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