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All Journal Majority Science Journal Technologia Journal
aghata, frhendy
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Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Law, Crime, Criminology & Criminal Justice

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Journal : Majority Science Journal

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ETHICAL AND DATA SECURITY ANALYSIS IN THE IMPLEMENTATION OF GENERATIVE AI IN HIGHER EDUCATION ENVIRONMENTS Haetami, Aceng; Aghata, Frhendy
MSJ : Majority Science Journal Vol. 3 No. 4 (2025): MSJ-November
Publisher : PT. Hafasy Dwi Nawasena

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61942/msj.v3i4.482

Abstract

The rapid adoption of generative artificial intelligence in higher education has introduced significant pedagogical opportunities while simultaneously raising critical concerns regarding academic ethics and data security. This study aims to analyze ethical risks and data vulnerabilities associated with the use of generative AI by university students and lecturers, as well as to assess institutional readiness in establishing responsible AI governance. Using an analytical literature study with a descriptive qualitative approach, this research synthesizes empirical and conceptual findings from reputable international publications between 2015 and 2024. The findings indicate that generative AI poses threats to academic integrity through machine-generated plagiarism, reduced critical thinking, and algorithmic bias in learning processes. From a data security perspective, major risks include opaque data-storage policies, potential model memorization of sensitive information, and weak cybersecurity infrastructures in universities. Institutional readiness remains limited, marked by the absence of AI ethics guidelines, low AI literacy among academic communities, and inadequate monitoring mechanisms. This study recommends the development of generative-AI ethical guidelines, enhancement of digital literacy, improvement of data protection standards, and the establishment of AI governance committees within universities.
Co-Authors Aceng Haetami, Aceng Dwiyanto .