Assess the learner’s ability to design a comprehensive algorithmic hiring system that balances predictive performance with ethical and legal requirements: require a data strategy, bias-mitigation across gender, race, and socioeconomic status, fairness metrics and remediation, model selection and explainability, privacy-preserving techniques, scalable architecture, monitoring/audit plans, governance and documentation, and justification of trade-offs and evaluation criteria.