Designing ML platforms with governance and risk management considerations
ML technology systems play a crucial role in the AI risk management process and activities. To begin with, these systems must be developed and constructed to comply with both internal and external policies and guidelines. Additionally, technology can aid in streamlining and automating ML governance procedures. The following figure illustrates the different ML governance touchpoints in an enterprise ML platform. It is important to know that ML technology alone can only help address a subset of AI risks; other enterprise security technology needs to be incorporated to form a more comprehensive governance and defense mechanism.
Figure 12.2: ML platform and ML governance
In the preceding figure, the ML governance touchpoints have been integrated into the MLOps architecture depicted in Figure 9.4 of Chapter 9, Designing an Enterprise ML Architecture with AWS ML Services.
When an ML platform...
