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<p>As GenAI technologies become more pervasive in higher education (HE), scholars call for guidance on AI governance. To meet this need, a Delphi technique and collective writing was used in gathering expert perspectives from across 22 countries/locations and six continents. This resulted in the development of a HE GenAI policy/guidelines framework with eight core areas: (1) academic integrity, (2) ethical use and responsible use, (3) privacy and protection, (4) equitable access, (5) GenAI literacy, (6) integration strategy, (7) human oversight and accountability, and (8) institutional support and infrastructure. In addition, a six-part framework was developed to ensure that policies remain current and relevant: (1) creating a dedicated GenAI Committee, (2) conducting regularly scheduled policy reviews, (3) providing ongoing professional development and support, (4) communicating with all stakeholders, (5) evaluating the effectiveness and impact of GenAI, and 6) monitoring external developments. By providing a robust, eight-part framework for policy and guidelines, alongside a six-part mechanism for continued review, this study offers faculty, students, administrators, educational leaders, policymakers, and funders a responsible, adaptable, and consensus-driven blueprint for navigating the integration of GenAI in HE, ensuring that technological innovation serves pedagogical excellence.</p>

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Governing generative AI in higher education: a global Delphi study on policy and practice

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年5月22日

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  • Helen Crompton,
  • Diane Burke,
  • Christine Nickel,
  • Aras Bozkurt,
  • Fengchun Miao,
  • Mike Sharples,
  • Jeffrey Alan Greene,
  • David Parsons,
  • Lucy Gill-Simmen,
  • Adam Edmett,
  • Mark Pegrum,
  • Inge de Waard,
  • Curtis J. Bonk,
  • Manuel B. Garcia,
  • John H. Curry,
  • LeeAnn Lindsey,
  • Mohan Yang,
  • Stephen Marshall,
  • Maha Bali,
  • Nellie Deutsch,
  • Suzaan le Roux,
  • Mourad Benali,
  • Mohd Ali Bin Samsudin,
  • Hasan Tinmaz,
  • Matthew L. Bernacki,
  • Mari van Wyk,
  • Lenandlar Singh,
  • Agnes Chigona,
  • Lance Eaton,
  • Junhong Xiao,
  • Johanna Velander,
  • Jinhee Kim,
  • Francisco Bellas,
  • R. Rajalakshmi,
  • Andréia de Bem Machado,
  • Agnieszka Palalas,
  • Sean Yu

摘要

As GenAI technologies become more pervasive in higher education (HE), scholars call for guidance on AI governance. To meet this need, a Delphi technique and collective writing was used in gathering expert perspectives from across 22 countries/locations and six continents. This resulted in the development of a HE GenAI policy/guidelines framework with eight core areas: (1) academic integrity, (2) ethical use and responsible use, (3) privacy and protection, (4) equitable access, (5) GenAI literacy, (6) integration strategy, (7) human oversight and accountability, and (8) institutional support and infrastructure. In addition, a six-part framework was developed to ensure that policies remain current and relevant: (1) creating a dedicated GenAI Committee, (2) conducting regularly scheduled policy reviews, (3) providing ongoing professional development and support, (4) communicating with all stakeholders, (5) evaluating the effectiveness and impact of GenAI, and 6) monitoring external developments. By providing a robust, eight-part framework for policy and guidelines, alongside a six-part mechanism for continued review, this study offers faculty, students, administrators, educational leaders, policymakers, and funders a responsible, adaptable, and consensus-driven blueprint for navigating the integration of GenAI in HE, ensuring that technological innovation serves pedagogical excellence.