The course aims to equip teachers with the necessary knowledge and tools to address these challenges and opportunities. It focuses on tackling issues such as bias and fairness, privacy and data security, automated feedback, validity and reliability of AI-based assessments, interpretation of AI-generated results, and maintaining a positive teacher-student relationship in the context of AI. By providing insights, examples, and discussions, the course empowers teachers to optimize the assessment process, enhance student learning outcomes, and navigate the intersection of assessment and AI in education responsibly and effectively.