Artificial Intelligence and the Ethics of Knowledge Documentation in Academic Research: A Legal Governance Perspective on Academic Integrity in the Humanities and Social Sciences

Abstract

This study examines the legal and governance challenges arising from the increasing use of artificial intelligence in academic research, particularly regarding academic integrity, knowledge documentation, and scientific credibility. Although AI technologies improve research efficiency and data analysis, their misuse may lead to plagiarism, misinformation, data manipulation, and violations of intellectual property rights. Using a legal analytical approach, the study explores the limitations of traditional academic integrity frameworks in addressing AI-generated content and algorithmic knowledge production. It also analyzes the need for regulatory mechanisms capable of ensuring transparency, accountability, and ethical compliance within research environments. The paper highlights the role of universities and public institutions in developing governance policies that protect privacy and ensure responsible AI use in academic activities. In addition, selected international frameworks, including UNESCO’s AI ethics recommendations and the EU AI regulatory approach, are considered as comparative models for future legal governance in higher education and scientific research.