Topic 1 Question 57
A company has installed a security camera. The company uses an ML model to evaluate the security camera footage for potential thefts. The company has discovered that the model disproportionately flags people who are members of a specific ethnic group. Which type of bias is affecting the model output?
Measurement bias
Sampling bias
Observer bias
Confirmation bias
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- 正解だと思う選択肢: B
B - Sampling bias occurs when the data used to train a model is not representative of the population or real-world scenarios it's meant to analyze. This leads to skewed results that favor or disfavor certain groups.
👍 4Blair772024/11/12 - 正解だと思う選択肢: B
B: Sampling bias
Explanation: Sampling bias occurs when the training data used for an ML model is not representative of the real-world population. In this case, the model disproportionately flags members of a specific ethnic group, likely because the training dataset was not balanced or representative of all groups. This leads to skewed predictions that unfairly target certain populations.
👍 2Moon2024/12/31 - 正解だと思う選択肢: B
Sampling bias occurs when the data used to train the machine learning model is not representative of the entire population or the range of possible scenarios. If the model disproportionately flags people from a specific ethnic group, it suggests that the data used to train the model may have an overrepresentation or underrepresentation of certain ethnic groups, leading to biased predictions.
👍 2Willdoit2025/02/13
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