Lesson 2 of 3•AI for Diversity, Equity & Inclusion0 of 3 complete (0%)
15 min read
AI Bias in HR Technology
What you'll learn
- 1Identify how AI tools used in HR can perpetuate or amplify existing biases
- 2Evaluate AI-powered HR products for fairness and transparency
- 3Build governance frameworks for responsible AI use in people decisions
The AI Bias Paradox in HR
AI promises to reduce human bias in hiring, performance evaluation, and promotion. But AI systems learn from historical data — and historical data reflects historical biases. If your past hiring favored certain demographics, an AI trained on that data will learn to favor them too.
Where AI Bias Appears in HR
Resume Screening AI resume screeners can develop biases based on: - Name patterns — correlating names with demographics - Education prestige — overweighting elite institutions - Gap penalties — penalizing career breaks (disproportionately affecting women) - Activity signals — interpreting extracurriculars through cultural lenses
Video Interview Analysis AI that analyzes facial expressions, tone, and word choice can: - Penalize accents or non-native English patterns - Misread expressions across cultural contexts - Disadvantage disabled candidates with atypical facial movements or speech patterns
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What you'll learn:
- Identify how AI tools used in HR can perpetuate or amplify existing biases
- Evaluate AI-powered HR products for fairness and transparency
- Build governance frameworks for responsible AI use in people decisions