This cutting-edge Handbook offers a comprehensive introduction to the emerging research field of artificial intelligence (AI) in human resource management (HRM). Broadly mapping AI fields relevant for HR, it not only considers the more well-known areas of machine learning and natural language processing, but also lesser-known fields such as affective computing and robotic process automation.
Expert contributors analyze the applications of machine learning in human resources, including machine learning on text data, audio and video data, social media data, and in recruiting and staffing. They also explore a range of innovative topics such as knowledge representation and reasoning, and evolutionary computing. Discussing the explainability, fairness, accountability, and legitimacy of AI in HR, chapters bring normative issues to the fore. Approaches to researching AI in HR and to employing AI in HR research are also tackled. Offering an insight into existing research on artificial intelligence in human resources, the Handbook introduces core issues and considers implications for future research.
This Handbook will be critical reading for scholars and students of human resource management, knowledge management, organizational innovation, computer science, and information systems. It will also be beneficial for practitioners in these fields.
Author(s): Stefan Strohmeier
Publisher: Edward Elgar Publishing
Year: 2022
Language: English
Pages: 415
City: Cheltenham
Front Matter
Copyright
Contents
Figures
Tables
Contributors
Preface
1. Artificial intelligence in human resources - an introduction
PART I APPLICATIONS OF ARTIFICIAL INTELLIGENCE IN HUMAN RESOURCES
PART I.1 APPLICATIONS OF MACHINE LEARNING IN HUMAN RESOURCES
2. HR machine learning - an introduction
3. HR machine learning on text data
4. HR machine learning on audio and video data
5. HR machine learning on social media data
6. HR machine learning in recruiting
7. Machine learning in HR staffing
8. Machine learning in personnel selection
PART I.2 FURTHER APPLICATIONS OF ARTIFICIAL INTELLIGENCE IN HUMAN RESOURCES
9. HR knowledge representation and reasoning
10. HR robotic process automation
11. HR evolutionary computing
12. HR natural language processing - conceptual overview and state of the art on conversational agents in human resources management
13. HR affective computing
PART II CONSEQUENCES OF ARTIFICIAL INTELLIGENCE IN HUMAN RESOURCES
14. Consequences of artificial intelligence in human resource management
PART III NORMATIVE ISSUES OF ARTIFICIAL INTELLIGENCE IN HUMAN RESOURCES
15. Explainability of artificial intelligence in human resources
16. Fairness of artificial intelligence in human resources - held to a higher standard?
17. Accountability of artificial intelligence in human resources
18. Legitimacy of artificial intelligence in human resources - the legal framework for using artificial intelligence in human resource management
PART IV RESEARCH ISSUES OF ARTIFICIAL INTELLIGENCE IN HUMAN RESOURCES
19. Design considerations for conducting artificial intelligence research in human resource management
20. Employing artificial intelligence in human resources research
Index
