Microsoft AI-100 Designing and Implementing an Azure AI Solution 02 31Oct2024 - Practice Quiz

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Question 1 of 30

In a healthcare AI system designed to predict patient outcomes based on historical data, a team discovers that the model exhibits bias against a specific demographic group, leading to lower accuracy in predictions for that group. To address this issue, the team decides to implement a fairness-aware algorithm. Which of the following approaches would most effectively mitigate the bias while maintaining the model\'s overall performance?

Implementing re-weighting of the training samples to ensure equal representation of all demographic groups.

Increasing the complexity of the model to capture more intricate patterns in the data.

Reducing the size of the training dataset to focus on the most relevant features.

Using a single demographic group as the primary training set to enhance model accuracy.

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