AI Policies in Higher Education Institutions (HEIS)

Abstract

This chapter examines how Higher Education Institutions (HEIs) are developing governance frameworks to address ethical and responsible deployment of Artificial Intelligence (AI), particularly Generative AI (GenAI). Through a qualitative study of institutional documents, departmental guidelines, and course-level policies at the University of Lethbridge, it identifies key themes such as academic integrity, transparency, and the balancing of ethical considerations with operational efficiency. The establishment and objectives of an AI Policy Working Group (AIPWG) are detailed, highlighting stakeholder collaboration to develop adaptive policies responsive to rapidly advancing AI technologies. Main findings indicate variability in AI policy across academic disciplines, creating potential confusion regarding ethical AI use among students and faculty. The chapter proposes a multitiered governance framework incorporating institutional guidelines aligned with Responsible Management Education (RME) principles—emphasizing ethics, accountability, and sustainability—alongside discipline-specific and course-level policies. It concludes by advocating for international cooperation and continuous stakeholder engagement to refine AI governance, ensuring responsible and ethical integration that aligns with educational values and promotes critical thinking.

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