Hossain, Syed Far AbidIslam, M. NazmulNabila, Tamjidun Nahar2025-06-172025-06-1720252025-01ID 22364074http://hdl.handle.net/10361/26065Cataloged from the PDF version of internship report.Includes bibliographical references (page 43).This internship report is submitted in partial fulfillment of the requirements for the degree of Master of Business Administration, 2025.The integration of artificial intelligence (AI) in human resources (HR) is transforming the ways organizations recruit, oversee, and preserve talent. This report explores AI powered advancements in talent acquisition and management, highlighting main advantages, obstacles, and future possibilities. AI-driven tools streamline recruitment procedures, facilitating quicker and more precise candidate selection via resume evaluation, candidate sourcing, and interview coordination. Chatbots improve the candidate’s experience through tailored interactions, and predictive analytics aid in making informed hiring choices. In talent management, AI enables tailored onboarding, flexible learning experiences, immediate performance monitoring, and career growth strategies. These advancements enhance employee involvement, career development, and long-term retention. Major advantages of AI integration consist of improved efficiency, minimized bias, scalability, and elevated employee engagement. Nonetheless, issues like data privacy, algorithmic bias, and implementation expenses need to be handled with care. In the future, AI's involvement in HR will grow to include predictive workforce planning, wellness tracking, and sophisticated analytics. Achievement relies on harmonizing technological advancement with ethical approaches and human-focused strategies.47 pagesenBRAC University internship reports are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission.Artificial intelligenceHR practicesHuman resource managementEmployee managementEmployee recruitmentEmployee engagementTalent managementPersonnel management--Technological innovations.Artificial intelligence--Industrial applications.Employees--Effect of technological innovations on.Employees--Recruiting.Talent management--Technological innovations.Employee selection--Data processing.Internship Report