Evaluate ethical, legal, and economic trade-offs involved in deploying AI-driven public health surveillance systems. Test ability to analyze privacy, consent, equity, bias, and accountability concerns; assess regulatory frameworks (data protection, liability, transparency); weigh costs, benefits, externalities and distributional impacts; and recommend governance, technical safeguards, and policy solutions using case-based reasoning and stakeholder analysis.