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?
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.
B
Use feature attribution in Vertex AI to analyze model predictions and the impact of each feature on the model's predictions.
C
Enable Vertex AI Model Monitoring to detect training-serving skew. Configure an alert to send an email when the skew or drift for a modes feature exceeds a predefined threshold. Re-train the model by appending new data to existing raining data.
D
Compile a dataset of unfair predictions. Use Vertex AI Vector Search to identify similar data points in the model's predictions. Report these data points to the stakeholders.