A company built an AI-powered resume screening system. The company used a large dataset to train the model. The dataset contained resumes that were not representative of all demographics. Which core…

The correct answer is A. Fairness. Fairness refers to the absence of bias in AI models. Using non-representative datasets leads to biased predictions, affecting specific demographics unfairly. Explainability, privacy, and transparency are important but not directly related to this scenario.

Submitted by viktor_hu· Mar 30, 2026Responsible AI

Question

A company built an AI-powered resume screening system. The company used a large dataset to train the model. The dataset contained resumes that were not representative of all demographics. Which core dimension of responsible AI does this scenario present?

Options

AFairness.
BExplainability.
CPrivacy and security.
DTransparency.

How the community answered

(41 responses)

A
76% (31)
B
5% (2)
C
12% (5)
D
7% (3)

Explanation

Fairness refers to the absence of bias in AI models. Using non-representative datasets leads to biased predictions, affecting specific demographics unfairly. Explainability, privacy, and transparency are important but not directly related to this scenario.

Topics

#fairness#bias#demographic representation#responsible AI

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