Google Professional Machine Learning Engineer
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You have developed a fraud detection model on Vertex AI for a large financial institution. While the model has high accuracy, stakeholders are concerned about potential bias related to customer demographics. You need to explain the model's decision-making process and identify any fairness issues. What is your recommended course of action?
You have developed a fraud detection model on Vertex AI for a large financial institution. While the model has high accuracy, stakeholders are concerned about potential bias related to customer demographics. You need to explain the model's decision-making process and identify any fairness issues. What is your recommended course of action?
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A
Create feature groups using Vertex AI Feature Store to segregate customer demographic features and non-demographic features. Retrain the model using only non-demographic features.
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B
Use feature attribution in Vertex AI to analyze model predictions and the impact of each feature on the model's predictions.
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