Responsible AI dashboard

To leverage the Toolbox, we will create a model to apply the Toolbox to. Let’s look at the process of creating and analyzing responsible AI.

Let’s go through the steps to create a model in the Azure ML service:

1. Go to the Azure ML Studio UI.
2. Start the compute instance.
3. Click on Notebook in the Author section.
4. Create a new notebook with Python 3.8 with Azure ML as the kernel.
5. Name the notebook RAIDashboard.ipynb.
6. Now, we need to install or upgrade libraries. Only install libraries if they aren’t already on your system. At the time of writing, Python 3.8 with the Azure ML kernel was used, and it already has raiwidgets installed. If there is an older version, please use the following upgrade command to upgrade to the latest version:

Figure 8.1 – Install or upgrade the Responsible AI Toolbox

7. Now, let’s upgrade the dependencies:

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