Legal Protection of the Learner’s Personal Data in the Era of Artificial Intelligence

Abstract

This study addresses an important issue concerning the effectiveness of existing legal rules in protecting learners’ digital privacy in light of the widespread use of artificial intelligence technologies in the education sector. As educational institutions increasingly adopt adaptive learning platforms and intelligent tutoring systems, the collection of learners’ personal and behavioral data has become a technical necessity for operating these systems. The study aims to highlight the main legal challenges posed by these technologies, particularly the weakness of informed consent in the educational environment, as well as the risks of profiling and data exploitation. Through the analysis of legal texts, the study concludes that traditional data protection laws are insufficient to address the predictive nature of artificial intelligence, which calls for urgent legislative reforms that incorporate the principle of privacy by design and guarantee the learner’s right to digital forgetting.