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Artificial Intelligence is transforming the way organisations attract, hire, and manage their people. From scanning CVs to ranking candidates and tracking performance, AI systems are becoming a standard part of modern HR operations. But while these tools can increase efficiency, they also raise important questions about fairness, bias, and transparency.

In this section, learners explore the opportunities and challenges of using AI in Human Resources. What happens when an algorithm decides who gets hired—or who doesn’t? Can performance-tracking tools support development without becoming invasive? And how do we design systems that promote equity rather than replicate discrimination?

You'll find:

Case studies

examining the real-world use of AI in recruitment and employee evaluation

Simulations

using bias detection tools like the What-if Tool, Google Fairness Indicators, and FairGBM

Activities and discussions

to help learners audit AI systems for fairness and inclusivity

These resources give students and educators a practical foundation for navigating AI’s growing influence in the workplace—while keeping ethical principles at the centre of the conversation.

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