AI-powered learning platforms raise significant privacy and security concerns, primarily due to the extensive collection and processing of sensitive personal data, often without fully informed user consent. This data can be misused or shared with third parties, and even anonymized information risks re-identification. Security vulnerabilities in the platforms and AI models themselves expose users to data breaches, adversarial attacks, and insider threats. Additionally, biases in AI systems can lead to harmful or manipulative learning experiences. To address these issues, platforms must implement transparent privacy policies, data minimization, strong encryption, secure authentication, and give users control over their data, alongside rigorous security audits and ethical AI design.