Data Privacy and Security Concerns in AI-Integrated Educational Platforms
Deepthy Jose
Abstract
As educational institutions increasingly embrace AI technologies to enhance learning experiences, a paramount concern arises regarding the privacy and security of sensitive student data. This research paper delves into the challenges and implications associated with the integration of AI in educational platforms, focusing specifically on data privacy and security issues. The study aims to identify potential risks, assess current safeguards, and propose strategies to mitigate threats, ensuring a responsible and secure implementation of AI in education. By examining the intersection of technological advancement and privacy concerns, this research contributes to the ongoing dialogue on ethical considerations in the realm of AI-driven education transformation. Furthermore, this research endeavors to propose robust frameworks and strategies to safeguard the integrity and confidentiality of data in AI driven educational environments. By addressing these concerns head-on, we strive to contribute valuable insights to the ongoing discourse on balancing the transformative benefits of AI in education with the imperative to protect the privacy and security of all stakeholders involved.