Issues between Artificial Intelligence and Personal Data in Education

Abstract

The purpose of this paper is to investigate the complex relationship that exists between AI and personal data used in educational settings. The paper also highlights the importance of having a strong thesis statement to direct the research. A particular emphasis is placed on data privacy, security, and algorithmic bias in this study, which investigates the ethical concerns that are associated with the integration of artificial intelligence. In order to protect the students' right to privacy, it emphasizes the significance of obtaining informed consent and maintaining transparency in the data collection and processing processes. In spite of the fact that it acknowledges the difficulties that are posed by concerns regarding data privacy and security, the research highlights the potential benefits of artificial intelligence in terms of improving educational outcomes and personalizing learning experiences. Additionally, the paper emphasizes the importance of developing ethical guidelines and policies that are in line with the rapid advancements in artificial intelligence technology. This will guarantee that students' data rights are maintained and honoured. By addressing these important concerns, this paper seeks to add to a thorough knowledge of the ethical and legal difficulties related with including artificial intelligence into education. Furthermore, the study promotes a multidisciplinary approach to properly negotiate these complexity.