To maintain fairness in a deployed system, it is most important to?
A.
Protect against loss of personal data in the model.
B.
Monitor for data drift that may affect performance and accuracy.
C.
Detect anomalies outside established metrics that require new training data.
D.
Optimize computational resources and data to ensure efficiency and scalability.
The Answer Is:
B
This question includes an explanation.
Explanation:
To maintain fairness in a deployed system, it is crucial to monitor for data drift that may affect performance and accuracy. Data drift occurs when the statistical properties of the input data change over time, which can lead to a decline in model performance. Continuous monitoring and updating of the model with new data ensure that it remains fair and accurate, adapting to any changes in the data distribution. Reference: AIGP Body of Knowledge on Post-Deployment Monitoring and Model Maintenance.
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