Description
Book SynopsisThis 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.
Trade Review‘This Handbook is a must-have whether you know a little or a lot about AI and human resource management. Topics range from the highly technical for specialists to the more foundational for novices. Readers can dive in to get answers to specific questions or read the whole volume to gain a thorough grounding. AI is here to stay in human resource management. It poses many challenges for scholars and practitioners. This Handbook is a great guide for addressing those challenges.' -- Mark Lengnick-Hall, University of Texas at San Antonio, US
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The potential for better decisions in managing people and also the conflicts between AI principles and those that have governed human resources are profound. This Handbook offers the most detailed and wide-ranging account available as to what AI solutions look like in this realm, not just those available now but most importantly those in the works.’ -- Peter Cappelli, University of Pennsylvania, US
‘This Handbook provides a comprehensive overview of how AI might be deployed in the field of human resources and includes incisive analysis of some of the key challenges: explaining AIs’ decisions, fairness and legal regulation. It is a really excellent resource.’ -- Andy Charlwood, University of Leeds, UK
Table of ContentsContents: Preface xii 1 Artificial intelligence in human resources – an introduction 1 Stefan Strohmeier 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 25 Stefan Strohmeier 3 HR machine learning on text data 46 Felix Gross 4 HR machine learning on audio and video data 68 Carmen Fernández-Martinez and Alberto Fernández 5 HR machine learning on social media data 89 Jake T. Harrison and Christopher J. Hartwell 6 HR machine learning in recruiting 105 Sven Laumer, Christian Maier, and Tim Weitzel 7 Machine learning in HR staffing 127 Florian J. Meier and Sven Laumer 8 Machine learning in personnel selection 149 Cornelius J. König and Markus Langer PART I.2 FURTHER APPLICATIONS OF ARTIFICIAL INTELLIGENCE IN HUMAN RESOURCES 9 HR knowledge representation and reasoning 169 Jorge Martinez-Gil 10 HR robotic process automation 187 Peter Fettke and Stefan Strohmeier 11 HR evolutionary computing 207 Lena Wolbeck and Charlotte Köhler 12 HR natural language processing – conceptual overview and state of the art on conversational agents in human resources management 226 Sven Laumer and Stefan Morana 13 HR affective computing 243 William J. Becker, Sarah E. Tuskey, and Constant D. Beugré PART II CONSEQUENCES OF ARTIFICIAL INTELLIGENCE IN HUMAN RESOURCES 14 Consequences of artificial intelligence in human resource management 261 Maarten Renkema PART III NORMATIVE ISSUES OF ARTIFICIAL INTELLIGENCE IN HUMAN RESOURCES 15 Explainability of artificial intelligence in human resources 285 Markus Langer and Cornelius J. König 16 Fairness of artificial intelligence in human resources – held to a higher standard? 303 Sandra L. Fisher and Garret N. Howardson 17 Accountability of artificial intelligence in human resources 323 Katharina A. Zweig and Franziska Raudonat 18 Legitimacy of artificial intelligence in human resources – the legal framework for using artificial intelligence in human resource management 337 Kai von Lewinski and Raphael de Barros Fritz PART IV RESEARCH ISSUES OF ARTIFICIAL INTELLIGENCE IN HUMAN RESOURCES 19 Design considerations for conducting artificial intelligence research in human resource management 353 Richard D. Johnson and Dianna L. Stone 20 Employing artificial intelligence in human resources research 371 Chulin Chen and Richard Landers Index 392
