Leveraging AI to Mitigate Bias in HR Functions: A Systematic Literature Review

Abstract

Automation and advanced technologies like Artificial Intelligence (AI), Machine Learning, are expeditiously thriving; it is likely to become a progressively important tool for businesses looking to stay competitive in today’s fast-paced and data-driven business environment. AI has the potential to revolutionize the operational activity more effectively and efficiently as it enables businesses to automate the tasks, freeing up employees to focus on more strategic work. Various aspects have been studied so far in terms of AI in HR, but there is a paucity of research in terms of understanding the positive impact of AI adoption that can minimize biases. The objective of the study is to examine the benefits of AI adoption in HRM Practices without bias. This study aims to perform a bibliometric analysis of the scientific literature of 11 papers selected through PRISMA framework. This study will help HR to analyze employees who perform their functions better, such as reviewing and appraisals, employee engagement more effectively and efficiently, better quality work output, employee learning, appraisal, and promotion with equal to or no business with immediate feedback of HR and superiors which eventually lead to better employee engagement.