AIF-C01 · Question #184
A retail company wants to build an ML model to recommend products to customers. The company wants to build the model based on responsible practices. Which practice should the company apply when…
The correct answer is C. Ensure that the data is balanced and collected from a diverse group. The retail company wants to build an ML model for product recommendations using responsible practices to decrease model bias. Collecting balanced and diverse data ensures the model does not favor specific groups, reducing bias and promoting fairness, a key responsible AI…
Question
A retail company wants to build an ML model to recommend products to customers. The company wants to build the model based on responsible practices. Which practice should the company apply when collecting data to decrease model bias?
Options
- AUse data from only customers who match the demography of the company's overall customer
- BCollect data from customers who have a past purchase history.
- CEnsure that the data is balanced and collected from a diverse group.
- DEnsure that the data is from a publicly available dataset.
How the community answered
(22 responses)- A14% (3)
- B5% (1)
- C77% (17)
- D5% (1)
Explanation
The retail company wants to build an ML model for product recommendations using responsible practices to decrease model bias. Collecting balanced and diverse data ensures the model does not favor specific groups, reducing bias and promoting fairness, a key responsible AI practice. To reduce model bias, it is critical to collect balanced and diverse data that represents various demographics and user groups. This practice ensures fairness and prevents the model from disproportionately favoring certain populations.
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