An organization deploys an AI system to screen job applications. A risk assessment identifies that the model assigns lower scores to resumes containing terms associated with women's colleges. Which risk category does this represent?
Select an answer to reveal the explanation.
Short Explanation and Infographic
Here's the deal — b is correct because the model exhibits algorithmic bias that systematically disadvantages a protected class (women), producing disparate impact — a core AI fairness risk. A is wrong because underfitting refers to poor generalization, not discriminatory outputs.
Full explanation below image
Full Explanation
B is correct because the model exhibits algorithmic bias that systematically disadvantages a protected class (women), producing disparate impact — a core AI fairness risk. A is wrong because underfitting refers to poor generalization, not discriminatory outputs. C is wrong because data exfiltration is a confidentiality breach, not a fairness issue. D is wrong because while reputational risk may follow, the root cause is algorithmic bias, not explainability gaps.