This chapter focuses on the critical role of trust in the adoption and success of AI-driven educational systems. It examines strategies for fostering transparency, accountability, and collaboration among stakeholders, including educators, students, parents, and policymakers. The chapter highlights the importance of explainable AI (XAI), fairness audits, and clear communication to demystify AI processes and ensure equitable outcomes. Challenges such as addressing algorithmic bias, safeguarding data privacy, and maintaining human oversight are explored alongside actionable solutions. By providing practical frameworks and real-world examples, this chapter outlines how to build and sustain trust in AI systems, ensuring their effective integration into education.