
EXPLORING POLICIES AND GUIDELINES FOR THE USE OF GENERATIVE AI IN TEACHING, LEARNING, RESEARCH, AND ADMINISTRATION IN HIGHER EDUCATION
Dr. Emily Mitchell , Prof. Daniel Harrison, Educators at Department of Educational Technology, New York Institute of TechnologyAbstract
The integration of generative artificial intelligence (AI) into higher education has the potential to revolutionize teaching, learning, research, and administration. However, the rapid adoption of AI technologies raises significant concerns related to academic integrity, ethics, equity, and transparency. This article investigates the current guidelines and policies developed by higher education institutions (HEIs) regarding the use of generative AI in various academic and administrative contexts. Through a qualitative analysis of institutional documents and interviews with academic staff and administrators, the study identifies key themes and challenges in the implementation of AI tools. The findings highlight the importance of balancing innovation with academic integrity, promoting AI literacy, and addressing issues of bias and accountability. It also emphasizes the need for standardized and scalable policies that align AI use with institutional values and educational objectives. Ultimately, the article provides recommendations for HEIs to develop comprehensive, forward-thinking policies that enable the responsible and effective use of generative AI.
Keywords
Generative AI, higher education institutions, academic integrity
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