Course Overview

In today’s data-driven workplace, AI is increasingly used to guide decisions on hiring, performance, promotions, and compensation. But AI is only as objective as the data it learns from—and that data often reflects historical human bias.

This course explores how bias enters AI systems, how it can unintentionally shape workplace decisions at scale, and the ethical and legal risks organizations face as a result. You’ll learn where bias shows up, why it matters, and how to implement practical safeguards to ensure responsible, fair, and transparent use of AI.

Learning Objectives:

In this course, you’ll learn:

• How AI bias enters workplace decision systems
• Where ethical and regulatory risks arise
• How to govern high-risk AI responsibly