Q100 — AWS AIF-C01 Ch.1

Question 100 of 100 | ← Chapter 1

A company has installed surveillance cameras. It uses a machine learning model to analyze surveillance video footage to detect potential theft behavior. However, the company discovers that the model disproportionately misclassifies members of a particular racial group. Which type of bias is affecting the model’s output?

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

Correct Answer: B. Sampling bias

Explanation

Sampling bias occurs when the data collection process systematically over- or under-represents certain groups, leading to unrepresentative training data. Here, surveillance footage used to train the model shows disproportionately high misclassification rates for a specific racial group—indicating the training dataset likely over-sampled or under-sampled certain demographics during collection. This sampling bias directly causes skewed model outputs. Therefore, the bias affecting the model is sampling bias.