The Ethics of Artificial Intelligence in Academic Environment: Safeguarding Integrity in the Digital Age

Abstract

This study critically examined the ethical implications of Artificial Intelligence (AI) integration within academic environments, aiming to strengthen institutional safeguards for academic integrity in the digital age. With a bibliometric approach, the analysis draws upon 107 documents published between 2015 and 2025 in the Scopus database, employing VOSviewer for network, overlay, and density mapping. The findings reveal a decentralized and rapidly expanding research landscape, marked by high collaboration rates but moderate citation impact, suggesting both vibrancy and conceptual fragmentation. Key thematic concentrations include algorithmic fairness, AI-assisted authorship, and transparency in academic processes. Temporal analyses highlight a shift from foundational ethical concerns to emergent pedagogical challenges, reflecting a reactive rather than anticipatory research posture. Moreover, the underrepresentation of non-Western epistemologies points to critical gaps in inclusivity. This study underscores the necessity of developing proactive, interdisciplinary, and globally attuned ethical frameworks to ensure AI's responsible deployment in academia. The findings advocate for a recalibration of scholarly discourse towards a more holistic, sustained, and equity-driven ethical engagement with AI technologies.