Incorporating generative artificial intelligence (GenAI) into corporate learning presents both opportunities and challenges as organizations balance technological innovation with human connection. This chapter traces the evolution of AI technologies, which are increasingly influencing educational settings, beginning with early AI innovations such as ELIZA by Weizenbaum. It explores how GenAI has the potential to contribute to corporate education by enabling more customized and engaging learning pathways. Integrating GenAI tools in corporate training offers various practical applications, including content generation, adaptive feedback, conversational agents, and simulation-based learning. It also examines the limitations and ethical considerations of GenAI, particularly regarding how excessive reliance on machine-driven solutions risks both human creativity and emotional intelligence. The chapter concludes with a case study on AstraZeneca, showcasing how the pharmaceutical company successfully integrates GenAI into its training programs to drive innovation, support knowledge sharing, and foster a culture of lifelong learning.

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Integrating Generative AI into Corporate Learning

  • Nikolina Dragičević Rogge,
  • Gergana Vladova,
  • Bonnie Cheuk

摘要

Incorporating generative artificial intelligence (GenAI) into corporate learning presents both opportunities and challenges as organizations balance technological innovation with human connection. This chapter traces the evolution of AI technologies, which are increasingly influencing educational settings, beginning with early AI innovations such as ELIZA by Weizenbaum. It explores how GenAI has the potential to contribute to corporate education by enabling more customized and engaging learning pathways. Integrating GenAI tools in corporate training offers various practical applications, including content generation, adaptive feedback, conversational agents, and simulation-based learning. It also examines the limitations and ethical considerations of GenAI, particularly regarding how excessive reliance on machine-driven solutions risks both human creativity and emotional intelligence. The chapter concludes with a case study on AstraZeneca, showcasing how the pharmaceutical company successfully integrates GenAI into its training programs to drive innovation, support knowledge sharing, and foster a culture of lifelong learning.