AI in talent acquisition process: exploring the balance between automation and human touch in hiring at HumanX Technologies Limited
Date
2024
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
BRAC University
Abstract
Description
Cataloged from the PDF version of internship report.
Includes bibliographical references (pages 34-35).
The study explores the impact of AI driven Talent Acquisition (TA) process at HumanX Technologies Ltd. by focusing the balance of automation and human engagement in the recruitment process. AI has significantly played a role of enhancing efficiency by reducing hiring time, cost and accurate candidate screening process. The automated evaluation system with AI enabled resume screening, predictive analytics have streamlined the hiring process by enabling the HR team to manage high volume or bulk applications more effectively and accurately. Despite having advantage the AI in the hiring process comes with the few challenges which is though AI is good at screening candidates accurately based on skills and qualification but incapacity of assessing human qualities like leadership capacity, cultural fit, adaptability which need the attention of human perspective. Additionally the lack of transparency and feedback left candidates with confusion. To address these challenges HumanX adopts a hybrid recruitment model where screening is done by the automated process for accuracy and enhancement of administrative tasks but the final hiring decision is made by human engagement and human insight. They plan to enhance transparency by including structured feedback to candidates and provide training to HR professionals for better understanding of AI data driven insight as well as include audits to ensure ethical hiring. To conclude, this study shows that AI has significantly created efficiency in talent acquisition but maintaining automation and human judgement is also plays a crucial role in final hiring decision.
Includes bibliographical references (pages 34-35).
The study explores the impact of AI driven Talent Acquisition (TA) process at HumanX Technologies Ltd. by focusing the balance of automation and human engagement in the recruitment process. AI has significantly played a role of enhancing efficiency by reducing hiring time, cost and accurate candidate screening process. The automated evaluation system with AI enabled resume screening, predictive analytics have streamlined the hiring process by enabling the HR team to manage high volume or bulk applications more effectively and accurately. Despite having advantage the AI in the hiring process comes with the few challenges which is though AI is good at screening candidates accurately based on skills and qualification but incapacity of assessing human qualities like leadership capacity, cultural fit, adaptability which need the attention of human perspective. Additionally the lack of transparency and feedback left candidates with confusion. To address these challenges HumanX adopts a hybrid recruitment model where screening is done by the automated process for accuracy and enhancement of administrative tasks but the final hiring decision is made by human engagement and human insight. They plan to enhance transparency by including structured feedback to candidates and provide training to HR professionals for better understanding of AI data driven insight as well as include audits to ensure ethical hiring. To conclude, this study shows that AI has significantly created efficiency in talent acquisition but maintaining automation and human judgement is also plays a crucial role in final hiring decision.
Keywords
Artificial intelligence, Human resources, HumanX, Human engagement, Automated