Artificial intelligence (AI) technologies are on the rise and here to stay. This fact also applies to recruiting, personnel selection, training, and leadership, which are core aspects of modern human resource management (HRM). In the field of personnel selection, for example, we find evidence of potentially positive (e.g., efficiency) and negative effects (e.g., racial bias, faking by applicants). This fast-evolving and high-impact technology needs trained staff regarding its scientifically and ethically sound implementation beyond just “prompting skills”. This paper calls for a better understanding of digital upskilling initiatives focusing on HR experts—AI literacy is urgently needed. It also focuses on developing a competency model concerning AI implementation and use. Practical guidance regarding the selection and training of HR staff is outlined. The scientific community already advocates for more systematic applied research regarding the use of AI in HRM and/or applied psychology. Thus, key research areas and qualitative as well as quantitative designs are briefly sketched.

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Selected or Rejected by Bots? Musings on AI Literacy in Human Resource Management, Upskilling of HR Experts, and a Call for Applied Research

  • Lothar Bildat,
  • Tim Brouns

摘要

Artificial intelligence (AI) technologies are on the rise and here to stay. This fact also applies to recruiting, personnel selection, training, and leadership, which are core aspects of modern human resource management (HRM). In the field of personnel selection, for example, we find evidence of potentially positive (e.g., efficiency) and negative effects (e.g., racial bias, faking by applicants). This fast-evolving and high-impact technology needs trained staff regarding its scientifically and ethically sound implementation beyond just “prompting skills”. This paper calls for a better understanding of digital upskilling initiatives focusing on HR experts—AI literacy is urgently needed. It also focuses on developing a competency model concerning AI implementation and use. Practical guidance regarding the selection and training of HR staff is outlined. The scientific community already advocates for more systematic applied research regarding the use of AI in HRM and/or applied psychology. Thus, key research areas and qualitative as well as quantitative designs are briefly sketched.