Responsible AI is a set of everyday habits that HR teams build into how they work. In Module 1, you explored where bias comes from and why spotting it matters. Now, we shift from why to how.

In this lesson, you’ll unpack the five core components that make AI use in HR safer, fairer, and more trustworthy—from clear ownership and thoughtful data practices to smart testing, transparency, and human oversight. Framed as a practical HR checklist, this lesson shows how responsible AI isn’t about slowing down—it’s about moving forward with clarity and confidence.

Learning objectives

By the end of this lesson, you’ll be able to:

• Explain why responsible AI is built through habits, not just policies
• Identify the five core components of responsible AI implementation in HR
• Spot early warning signs when a key component is weak or missing
• Apply a simple, practical checklist to your current AI use cases
• Clarify where human judgment must stay firmly in the loop