Example Concept: AI-driven assessments can automate grading and provide personalized feedback, but they must be calibrated to align with curriculum standards and learning objectives. This involves setting up AI tools to recognize diverse student responses and ensuring that the AI's evaluation criteria match the educational goals of the curriculum. Additionally, educators need to monitor AI outputs for bias and accuracy to maintain fairness and transparency in assessments.