Designing Machine/Deep Learning Models Using Azure CLI/

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Responsible AI

Responsible AI

Learn about responsible AI in Azure.

We'll cover the following...

Responsible AI

When we build models for the real world, it’s important to build responsible AI solutions. We need to make sure that our model is a fair representation of the real world.

There are multiple dimensions of responsible AI, including:

  • Fairness

  • Reliability and safety

  • Privacy and security

  • Inclusiveness

  • Transparency

  • Accountability

Azure Machine Learning can generate a responsible AI dashboard to do a deeper analysis of the model.

We will use the diabetes dataset here, which we previously used in the mini-project. For a simpler understanding, we've converted it to a classification problem: to predict if the person is diabetic or not. For simplicity and to balance the dataset, the dataset label is positive if their diabetic score is greater than 150.

You can see the sample train dataset below:

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AGE	SEX	BMI	BP	S1	S2	S3	S4	S5	S6	Y
59	2	32.1	101	157	93.2	38	4	4.8598	87	Diabetic
48	1	21.6	87	183	103.2	70	3	3.8918	69	NonDiabetic
72	2	30.5	93	156	93.6	41	4	4.6728	85	NonDiabetic

Dataset transformation

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