Artificial Intelligence and Academic Integrity: Challenges to Educational Integrity in the Digital Transformation

Abstract

The increasingly rapid digital transformation has encouraged the integration of Artificial Intelligence (AI) in various aspects of education, including the learning process, assessment and preparation of academic assignments. The presence of generative AI technology provides various benefits, such as increasing learning efficiency, facilitating access to information, and supporting the development of thinking skills. The use of AI also poses serious challenges to academic integrity. This research aims to examine the various challenges posed by the use of AI on educational integrity and identify strategies that can be implemented to maintain the values of academic honesty in the era of digital transformation. The method used is Systematic Literature Review (SLR) by reviewing various scientific articles, research reports and relevant academic publications regarding AI and academic integrity. The results of the study show that the use of AI has the potential to increase the practice of plagiarism, technology dependence, manipulation of academic assignments, and difficulties in detecting the authenticity of student work. The development of generative AI has changed the learning evaluation paradigm so that educational institutions need to adjust their policies and assessment methods. However, AI can also be used ethically as a learning support tool if it is accompanied by clear regulations, adequate digital literacy, and strengthening a culture of academic integrity. This research concludes that the main challenge lies not in AI technology itself, but in how educational institutions manage its use responsibly. Collaboration is needed between educators, students, policy makers and educational institutions in formulating guidelines for the use of AI that balance technological innovation and maintaining academic integrity