Ethical Dilemmas and Academic Integrity: Students’ Perceptions of Artificial Intelligence Use in Scholarly Writing
DOI:
https://doi.org/10.37253/barjoules.v3i1.11525Keywords:
Artificial Intelligence, Academic Integrity, Copyright Law, Ethical ChallengesAbstract
Being a university student requires the ability to take full responsibility for one’s academic work, particularly in the form of scholarly writing, where originality is a fundamental expectation. The use of Artificial Intelligence (AI) in academic writing, however, poses potential risks of plagiarism and copyright infringement, especially when used without proper guidelines. Such practices may contradict the provisions of Law No. 28 of 2014 on Copyright. The objective of this study is to analyze the legal status of AI-assisted academic work and to identify the weaknesses and challenges associated with AI use in higher education. This research employs an empirical legal research method using questionnaire-based data collection, targeting students who are in the process of preparing academic papers and who acknowledge receiving assistance from AI tools. This approach is considered relevant because it allows the researcher to obtain direct insights from the primary stakeholders—students themselves. The study seeks to examine the ethical dilemmas and questions of academic validity that emerge in light of the growing use of AI within university environments. The findings reveal that the legal implications faced by higher education institutions may lead to significant consequences if AI is not used responsibly. Despite its widespread use, AI can still be integrated into academic settings in a manner that upholds academic ethics and moral conduct, thereby allowing students to retain authorship and copyright over their work. Therefore, higher education institutions must take proactive measures to formulate clear policies governing the use of AI in academic writing. As technological development continues to accelerate, universities must strive to achieve a balanced approach that optimizes the benefits of AI while mitigating its potential risks. With the establishment of proper ethical guidelines, AI can function as a supportive tool without diminishing the originality or copyright of students’ academic work.
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