The Quest for Academic Integrity During the Onslaught of Unregulated Generative AI Use: Integrating Integrity into AI Use via Policy at Laguna State Polytechnic University
Year: 2025
Type: article
Abstract: Generative AI (GAI) is a groundbreaking and transformative technology that is enabling paradigm-shifting opportunities for innovation across learning, research, and administrative contexts. However, it also brings in new challenges, especially with the issues of academic dishonesty, ethical concerns on usage, involvement of students in abusing such technologies, and the AI bias and hallucinations, which are widespread even in the most sophisticated GAI. This paper investigates and explores the development of a GAI Policy for Laguna State Polytechnic University (LSPU), with a strong emphasis on promoting responsible and ethical use of GAI tools while safeguarding against abuse. Drawing from an extensive literature review, this study addresses central issues like integrating AI into education, managing AI hallucinations, fostering awareness of biases, and implementing AI with tutor-style one-on-one Socratic dialogue techniques that have been proven by educational research, particularly Benjamin Bloom’s 2 Sigma Problem, which found that students tutored one-on-one perform two standard deviations better than those in traditional classroom settings. The resulting policy recommendations emphasize academic integrity, transparency, ethical compliance, stakeholder engagement, and proactive alignment with global advancements in GAI technologies. Concentrating on the problems and potentialities GAI can provide, the study provides a framework for policy development in relation to the challenges and complexities brought about by GAI in the education sector and specifically how it can be used for more productive purposes instead of being used by the students for superficial achievement.
Author: Ernesto Thaddeus Solmerano
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: hybrid
OpenAlex ID: W4409195036