While Artificial Intelligence (AI) in education presents significant benefits, its integration also raises potential risks. To ensure responsible and equitable use, ethical considerations must be embedded in the design and deployment of AI tools from the outset. Despite the growing awareness of AI’s potential in education, many developers and institutions lack clear guidelines on integrating ethical safeguards. This chapter examines the design features of current Personalized Adaptive Learning (PAL) systems and how developers mitigate associated risks through responsible design and implementation. This chapter explores two key questions: What design features are currently incorporated into PAL systems? And how are developers addressing ethical considerations in the design and implementation of these systems? Findings from a review of 40 PAL systems reveal that while these technologies enhance personalization, they also present challenges related to privacy, bias, and technological dependence. Currently, there is limited guidance on systematically evaluating AI’s implications for students’ data protection, privacy, and fundamental rights. By offering insights into balancing AI’s potential with addressing its ethical challenges, this chapter provides guidance for educators and developers to create more inclusive and effective learning environments while safeguarding students’ fundamental rights.