Learn the key setting you need to enable in Azure’s automated machine learning UI to ensure your model aligns with Microsoft’s transparency principle for responsible AI.
Table of Contents
Question
You are building a machine learning model by using the automated machine learning user interface (UI) and need to ensure that the model meets the Microsoft transparency principle for responsible Al. What should you do?
A. Set Validation type to Auto.
B. Set Primary metric to accuracy.
C. Set Max concurrent iterations to 0.
D. Enable Explain best model.
Answer
D. Enable Explain best model.
Learn the key setting you need to enable in Azure’s automated machine learning UI to ensure your model aligns with Microsoft’s transparency principle for responsible AI.
Explanation
To ensure your machine learning model built using the Azure automated machine learning user interface meets Microsoft’s transparency principle for responsible AI, you should enable the “Explain best model” option.
Microsoft’s transparency principle for responsible AI states that AI systems should be understandable and explainable. When building ML models, it’s important to provide clarity on how the model works and makes predictions.
In Azure’s automated machine learning UI, the “Explain best model” setting generates an explainability report for the best model produced by the automated ML run. This report provides insights into the model’s behavior, feature importances, and decision-making process.
By enabling “Explain best model”, you ensure your final model comes with an explanation that helps users understand how it works and why it makes certain predictions. This transparency is key for building trust and aligning with responsible AI practices.
The other options mentioned are not directly related to model transparency:
- Setting validation type to Auto is about data splitting for model evaluation
- Setting primary metric to accuracy defines the optimization target metric
- Setting max concurrent iterations to 0 controls parallelism of the training process
Therefore, enabling the “Explain best model” option is the correct action to take to meet Microsoft’s transparency principle when building a model with Azure’s automated ML UI.
Enabling “Explain best model” ensures that the model’s decisions and predictions can be understood, aligning with the Microsoft transparency principle for responsible AI.
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