Assess graduate students' ability to evaluate the validity, reliability, and fairness of AI-driven automated essay scoring (AES) systems used in high-stakes graduate writing assessments. Scope includes construct and predictive validity, inter-rater and test-retest reliability, sources and metrics of bias/disparate impact, dataset representativeness, adversarial vulnerabilities, design of validation studies, and mitigation and governance strategies.