Guidelines for the use of artificial intelligence in university contexts

(v 5.0)

Keywords: artificial intelligence, generative artificial intelligence, large-scale language models, ChatGPT, digital skills, university education

Abstract

This instrument offers guidance to professors and students so that the use of artificial intelligence (AI) in university contexts is informed, transparent, ethical, and responsible. The Guidelines propose rules, principles and examples that are applicable to the pedagogical activities carried out inside and outside the classroom. The text is preceded by a preamble that seeks to put the reader in context through a brief explanation of the history of the formulation and development of the Guidelines. The instrument is divided into seven sections: (1) introduction, (2) objectives, (3) rules of use inside and outside the classroom, (4) justification of the rules, (5) other resources for teachers/ thus, (6) openness to future changes, and (7) changes from previous versions of the guidelines. Although the guidelines are relevant to the use of any type of AI, its rules focus on the use of chatbots—such as ChatGPT, Bing, Claude, and Bard, among others—that allow students to access language models through big scale. The objective of the guidelines is to become a useful resource for those who need a well-founded, comprehensive, and standardized document that allows clear work guides to be established regarding the use of AI at the university.

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Author Biography

Juan David Gutiérrez, Dr., Universidad de los Andes

Juan David Gutiérrez es Profesor Asociado de la Escuela de Gobierno Alberto Lleras Camargo de la Universidad de los Andes. PhD en Política Pública de la Escuela de Gobierno de la Universidad de Oxford. Investiga sobre política pública, inteligencia artificial, y gobernanza de los recursos naturales.

Published
2023-09-25
How to Cite
Gutiérrez, J. D. (2023). Guidelines for the use of artificial intelligence in university contexts. GIGAPP Estudios Working Papers, 10(267-272), 416-434. Retrieved from https://www.gigapp.org/ewp/index.php/GIGAPP-EWP/article/view/331