Microsoft Azure AI Fundamentals AI-900 Practice Question
A financial institution is developing an AI model to assess loan applications. During testing, they observe that the model declines applications from a specific demographic group more frequently than others.
What step should they take to address this disparity?
Implement algorithms that promote fairness in the model's decision-making process
Switch to a different machine learning algorithm for better performance
Increase the amount of data from the affected demographic group in the training set
Remove all demographic features from the dataset used to train the model
Implementing algorithms that promote fairness in the model's decision-making process helps to mitigate discriminatory patterns and ensure equitable outcomes across different demographic groups. Merely increasing data from the affected group or removing demographic features might not fully resolve the underlying biases. Switching to a different algorithm without addressing fairness considerations may not eliminate the disparity.
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Microsoft Azure AI Fundamentals AI-900
Describe Artificial Intelligence Workloads and Considerations
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