Assess understanding of ethical, legal, and operational trade-offs involved in deploying AI-driven employee monitoring in medium-to-large organizations; topics include ethical frameworks and stakeholder impacts, relevant privacy and employment laws (e.g., GDPR, CCPA, workplace surveillance statutes), consent and transparency, algorithmic bias and accuracy, data security and retention, effects on productivity, morale and labor relations, and governance, policy design, vendor management, and mitigation strategies; questions will require analysis of scenarios, identification of trade-offs, and justification of balanced implementation decisions.