Q74 — AWS AIF-C01 Ch.1

Question 74 of 100 | ← Chapter 1

A company has deployed surveillance cameras. The company uses a machine learning (ML) model to analyze images from the cameras to detect potential theft. The company discovers that the model disproportionately flags members of a specific racial group. What type of bias affects the model's output?

• A. Measurement bias
• B. Sampling bias ✓
• C. Observer bias
• D. Confirmation bias

Correct Answer: B. Sampling bias

Explanation

This question tests understanding of machine learning bias. In this scenario, the model disproportionately flags members of a specific racial group—typically due to underrepresentation or overrepresentation of that group in the training data, leading to biased model behavior. Such bias arising from improper sample selection is known as sampling bias. Therefore, the correct answer is B.