Evaluate AI Tools with Human Judgment in HR

Course description

AI is becoming part of everyday HR work, from resume screening and onboarding support to benefits chatbots, employee feedback analysis, and workforce dashboards. This course explains how AI tools can support HR workflows while reinforcing why human judgment remains essential when decisions affect candidates and employees. You’ll explore common HR use cases, including recruiting, employee support, performance-related analysis, turnover risk flags, and survey summaries. The course also examines key risks such as historical bias, privacy exposure, unclear recommendations, weak vendor claims, and overreliance on automated outputs. You’ll learn what questions HR teams should ask before using an AI tool, including what data it uses, how it has been tested, where its limits are, and who reviews results before action is taken. The course covers practical oversight steps for checking outputs, applying context, escalating concerns, and documenting accountability. It also explains how governance, policy rules, approved data use, monitoring triggers, and plain-language communication help make responsible AI use part of routine HR work. Emphasis is placed on asking clearer questions, setting boundaries, and explaining AI-supported processes in ways candidates, employees, and leaders can understand. By the end, participants will understand how to evaluate AI-supported processes, protect sensitive information, and keep people responsible for the decisions that follow.

Course outline