Nowadays with the development of AI, it became a big part of our lives. It started with statistics, so was focused mostly on numbers: precision, recall, etc. But at some point, it became obvious lots of AI models were missing something very important: responsibility.
Let's discuss the basic principles of Responsible AI and some tools to support AI developers. In this session we will talk about AI and ML in general, data preparation and Responsible AI principles and tools. In the end, I will show a demo using some of the tools inside Azure ML.
You will learn:
- The responsible AI principles
- The tools for applying those principles to ML solutions
- Best practices for applying the principles