Planning for Regulatory Compliance
When working with artificial intelligence (AI) systems, there are a couple of things that come to mind when we talk about compliance. The first is the process of adhering to laws, regulations, and standards that are usually set by governments, industry associations, or any other regulatory authorities, and the second is ethical considerations.
In this chapter, we will learn how to develop machine learning (ML) models ethically and responsibly by using the six Responsible AI principles according to Microsoft and how to translate them into a responsible development strategy using Responsible AI tools. Then, we will do an overview of the industry-recognized regulatory compliance standards for Azure Machine Learning and how to enforce them by using Azure Policy. These standards are not only Microsoft benchmarks but also globally accepted frameworks such as the National Institute of Standards and Technology Risk Management Framework (NIST RMF).
In...