Evaluate graduate-level understanding of ethical, legal, and socio-technical trade-offs involved in deploying AI-driven public health surveillance systems. The quiz will test the ability to analyze benefits (e.g., improved outbreak detection) versus harms (privacy loss, bias, discrimination), apply relevant legal and regulatory frameworks (data protection, public health law), assess technical limitations (accuracy, robustness, adversarial risk), identify stakeholder perspectives and governance mechanisms, and justify evidence-based mitigation and monitoring strategies using case examples or hypothetical scenarios.