Handbook of Research on Artificial Intelligence in Human Resource Management
- Length: 416 pages
- Edition: 1
- Language: English
- Publisher: Edward Elgar Publishing
- Publication Date: 2022-03-15
- ISBN-10: 1839107529
- ISBN-13: 9781839107528
- Sales Rank: #5381088 (See Top 100 Books)
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.
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
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