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Ethical Dilemmas of Generative AI and Large Language Models in Human Resource Management

  • Brian Mabuyana,
  • David Mhlanga,
  • Mufaro Dzingirai,
  • Emmanuel Ndhlovu

摘要

The rapid technological advancements witnessed in the early twenty-first century are reforming human resource management at a faster pace. However, there is scant evidence pertaining to the influence of generative Artificial Intelligence (AI) and Large Language Models (LLMs) on human resource management. This chapter seeks to bridge this gap. This chapter aims to examine how generative AI and LLMs influence talent management in a data-oriented context. A desktop approach and a conceptual approach were used as the data collection technique. The results revealed that making use of generative AI and LLMs alters the human resource management within a data-oriented setting. On the other side, the results showed that risks and ethical dilemmas affect the use of generative AI and LLMs within the data-oriented workplace. These results are useful for human resource practitioners, policymakers, and scholars.