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Fairness in AI Systems · 20 min
Learning Objective
Understand how training data bias creates unfair AI outcomes, and what design choices can reduce bias.
A tech company uses an AI to screen thousands of job applications and rank candidates. The AI was trained on 10 years of the company's past hiring decisions — who got interviews and who did not.
Bias type: Historical Hiring Bias
AI prediction scores for identical qualifications:
Name sounds male
Name sounds female
Non-Western name
0 / 3 scenarios explored