AI and Automation in Recruiting Questions

This topic tests familiarity with how artificial intelligence and automation are applied to recruiting, along with practical implementation and governance considerations. Candidates should describe common use cases such as resume parsing and ranking, candidate matching and rediscovery, intelligent outreach and scheduling, chatbots for candidate engagement, and automated assessment workflows; how to measure impact using conversion and quality metrics; trade offs between automation and human review; and ethical and legal risks such as bias, transparency, and data privacy. Discuss integration with applicant tracking systems, controlled experiments to evaluate impact, and how to establish monitoring and guardrails before production deployments.