This chapter aims to introduce readers to HR machine learning on audio and video data and present recent related work on machine learning in the HR domain. Machine learning techniques to automatically process audio and video information are gaining momentum in many areas of our society, including the HR discipline. The chapter includes a short description of the most important machine learning techniques used in this field. We focus on the overall applications and use cases where machine learning is used, namely video-interview software, candidate sourcing, employee attrition and future performance, speech analysis in HR calls and corporate conversational agents. The chapter covers the recognition of relevant features and emotions from video and audio analysis techniques, pointing out video interview as the most popular application in this line. Traditional problems in artificial vision, like facial recognition and speech recognition, are a basis for this topic; finally, we discuss ethical issues concerning the application of machine learning in HR, current research initiatives, future research directions, and emerging trends.
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Front Matter
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Part I: APPLICATIONS OF ARTIFICIAL INTELLIGENCE IN HUMAN RESOURCES
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Part I.1: APPLICATIONS OF MACHINE LEARNING IN HUMAN RESOURCES
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Part I.2: FURTHER APPLICATIONS OF ARTIFICIAL INTELLIGENCE IN HUMAN RESOURCES
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Part II: CONSEQUENCES OF ARTIFICIAL INTELLIGENCE IN HUMAN RESOURCES
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Part III: NORMATIVE ISSUES OF ARTIFICIAL INTELLIGENCE IN HUMAN RESOURCES
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Part IV: RESEARCH ISSUES OF ARTIFICIAL INTELLIGENCE IN HUMAN RESOURCES
