This chapter examines the ethical considerations of integrating artificial intelligence (AI) into educational assessments, providing a framework for ensuring fairness, accountability, and inclusivity. It addresses key issues such as algorithmic bias, data privacy, and the transparency of AI decision-making processes. The chapter highlights the importance of ethical oversight and stakeholder collaboration in developing AI systems that promote educational equity. Practical strategies for embedding ethical principles into AI design, implementation, and governance are presented, along with real-world examples of successful applications. By addressing these challenges, the chapter outlines how AI can be used responsibly to ensure that its transformative potential benefits all learners equitably.