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1.

A data scientist wants to investigate for which subgroups the model has relatively more false predictions, which Responsible AI component should be added to the pipeline to create the Responsible AI dashboard?

Explanations.

Counterfactuals.

Error analysis.

2.

What should be the first component in a pipeline to create a Responsible AI Dashboard?

RAI Insights dashboard constructor

Gather RAI Insights dashboard

Gather RAI Insights score card

3.

A data scientist has trained a model, and wants to quantify the influence of each feature on a specific prediction. What kind of feature importance should the data scientist examine?

Aggregate feature importance.

Global feature importance.

Individual feature importance.

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