Redefining HRM with Artificial Intelligence and Machine Learning

人工智能 分析 观点 出勤 知识管理 领域(数学) 计算机科学 工资单 人力资源管理 人力资源 数据科学 工程类 业务 管理 政治学 法学 经济 纯数学 视觉艺术 艺术 会计 数学
作者
Shivani Agarwal,Apoorv Gupta,Puja Roshani
出处
期刊:Emerald Publishing Limited eBooks [Emerald (MCB UP)]
卷期号:: 1-13 被引量:8
标识
DOI:10.1108/978-1-80382-027-920231001
摘要

Introduction: Artificial intelligence (AI) has now become an integral part of every aspect of the corporate sector. AI may be a massive branch of computing connected to building devices smart enough and capable of performing tasks that usually require human intelligence. Integrating AI with human resources (HR) practices will improve organisations, as these applications can analyse, predict, and diagnose to support HR teams for taking better decisions.Purpose: This chapter throws light upon the current scenario of awareness of AI and machine learning (ML) and their impact on the industry of HR. This chapter tries to describe the usage of AI in our current world and the impact of AI in the field of HRM in organisations.Methodology: The true possibility of AI and ML in HRM has been analysed with the help of pie charts, bar charts, and histograms with the segmenting of results and interpretations. Various frequently asked questions have been answered, and a sample population has also been surveyed on their viewpoints regarding specific areas.Findings: This chapter concludes that HR experts see the best potential in analytics, attendance, recruitment, attendance management, and compensation/payroll. AI will significantly diversify the HR sector. HR professionals need to think outside of their function.

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