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AIF-C01 · Question #239

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. By gathering training data that reflects the full spectrum of your customer population - across demographics, behaviors, and preferences - you reduce skew toward any one subgroup and help the recommender treat all users equitably.

Submitted by rania.sa· Mar 30, 2026Modeling

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 demographics 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

(27 responses)
  • A
    15% (4)
  • B
    7% (2)
  • C
    74% (20)
  • D
    4% (1)

Explanation

By gathering training data that reflects the full spectrum of your customer population - across demographics, behaviors, and preferences - you reduce skew toward any one subgroup and help the recommender treat all users equitably.

Topics

#ML model bias#Responsible AI#Data collection strategy

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