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This chapter critically explores the transformative Knowledge productionrole of generative AIgenerative AI in academic research and its potential implications for knowledge creation. It examines whether AI will diminish the role of human researchers or, conversely, create new avenues for collaboration and exploration, thereby accelerating knowledge productionKnowledge production and enhancing real-world impacts. The chapter also discusses the evolving landscape of research competenciesResearch competencies, outlining the argument for scholars to adapt to AI-driven methodologies and tools. Furthermore, the chapter reflects on the rise of open scienceOpen science in the age of AI, considering how transparency, collaboration, and accessibilityAccessibility can reshape future research practices.

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The Future of AI for Knowledge Production

  • 章节

  • 发表日期：

    2025年

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  • Oluwaseun Kolade,
  • Abiodun Egbetokun,
  • Adebowale Owoseni

摘要

This chapter critically explores the transformative Knowledge productionrole of generative AIgenerative AI in academic research and its potential implications for knowledge creation. It examines whether AI will diminish the role of human researchers or, conversely, create new avenues for collaboration and exploration, thereby accelerating knowledge productionKnowledge production and enhancing real-world impacts. The chapter also discusses the evolving landscape of research competenciesResearch competencies, outlining the argument for scholars to adapt to AI-driven methodologies and tools. Furthermore, the chapter reflects on the rise of open scienceOpen science in the age of AI, considering how transparency, collaboration, and accessibilityAccessibility can reshape future research practices.