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1. RAI dashboard (lesson & lab)

🎥 Responsible AI dashboard capabilities and features

Responsible AI Dashboard workshop

This workshop gives you a hands on experience on how to use an the Responsible AI dashboard from Azure Machine Learn to a trained classification model for diabetes hospital readmission. The lab will walk you through the steps of training a model, deploying it and then use the dashboard to debug and assess the model for fairness, inclusiveness, transparency, accountability and reliability concerns.

Use Case Overview​

We will be using a Diabetes Hospital Readmission dataset to train a classification model that predicts whether a diabetic patient will be Readmitted or Not Readmitted back in a hospital < 30 days after being discharged.

Data​

We’ll be using the UCI's Diabetes 130-US hospitals for years 1999–2008 dataset

Prerequisites​

  • Basic understanding of Machine Learning concepts
  • If you're new to machine learning, we recommend you take the ML for Beginners before you start this workshop.
  • You do not need an Azure subscription to complete this hands-on workshop. MS Learn sandbox environment will provide Azure resources you need to complete this workshop.

Objectives

  • Work with an interactive UI dashboard to debug and mitigate model issues faster
  • Produce AI systems that are more reliable and trustworthy
  • Provide AI model explanability for compliance regulations or auditors better
  • Helpful for decision-makers and stakeholders to be able to understand and make well informed decisions based on the model's outcomes and behavior

Duration

Let's uncover the benefits of using Azure Machine Learning's Responsible AI dashboard in 1 hour.

Let's get started

  • Click here to get started

MS Learn