Ethical AI in Recruitment: Identifying and Reducing Bias

Can AI be biased? Yes-and in this course, we explore how to spot it and fix it, especially when it’s used in hiring.
Duration: 1 Day
Hours: 1 Hour
Training: Live Training
Training Level: All Level
Live Session
Single Attendee
$149.00 $249.00
Live Session
Recorded
Single Attendee
$199.00 $332.00
6 month Access for Recorded
Live+Recorded
Single Attendee
$249.00 $416.00
6 month Access for Recorded

About the Course:

As AI tools are increasingly used in hiring, one big question pops up: are they fair? This session tackles a major challenge in today’s tech-driven HR world: bias in AI. Through relatable stories, real examples, and interactive discussions, we’ll explore how AI can sometimes make unfair decisions, what companies are doing about it, and how you can be part of creating ethical, inclusive workplaces.

Course Objective:

  • Understand what bias looks like in AI
  • Learn how unfair outcomes happen in recruitment algorithms
  • Explore real-world examples of AI bias in hiring
  • Discover what makes AI fair and transparent
  • Discuss your role in making ethical decisions in HR

Who is the Target Audience?

  • College or university students studying HR, business, psychology, or management

Basic Knowledge:

  • Just bring your curiosity! No prior tech or hiring experience required

Curriculum
Total Duration: 1 Hour
Opening Discussion: “Is Technology Always Fair?”

  • Example: AI that prefers certain schools or names in resumes  
  • Poll: “Would you trust AI to decide if you get a job?”  

Understanding Bias in AI

  • What is bias? How does it show up in the data?  
  • Real Story: How one company’s AI tool filtered out women  
  • Quick Quiz: “Bias or Not?” game with hiring scenarios  

Making AI Fair

  • How data scientists fix biased systems  
  • What HR professionals can do: transparency, audits, and DEI review  
  • Activity: Redesign a hiring process to be more fair  

You as an Ethics Leader

  • Role-play: You’re the recruiter—what would you say to your boss about a biased tool?  
  • Share: Your ideas for ethical HR leadership  

Wrap-Up

  • Final Reflection: “One bias you never thought about before”  
  • Tip Sheet: 5 Ways to Keep AI Ethical in HR