The Future of AI in Zero-Trust Learning
Maitri Dulla, Neha Jain · Apple Academic Press eBooks · 2025
As education evolves to integrate advanced technologies, the convergence of Artificial Intelligence (AI) and Zero Trust Learning (ZTL) represents a transformative shift. This chapter explores how AI can amplify the principles of ZTL to create personalized, secure, and adaptive learning environments. By leveraging AI’s capacity for real-time data analysis, anomaly detection, and customization, ZTL emphasizes the importance of continuous verification in learning interactions, mirroring its security roots. This fusion enables the development of AI-driven solutions such as identity authentication, adaptive content delivery, and predictive learning analytics. The chapter examines how these technologies can address challenges like algorithmic biases and over-reliance on automated systems while ensuring fairness and data privacy. It also highlights the enduring role of human educators, whose empathy and expertise remain irreplaceable in fostering meaningful learning experiences.