Guidance
Machine learning principles
These principles help developers, engineers, decision makers and risk owners make informed decisions about the design, development, deployment and operation of their machine learning (ML) systems.
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Part 2: Secure development
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This section contains principles that apply to the development stage of the ML system life cycle.
This stage can be the most complex, and it's important to recognise that security vulnerabilities introduced here will propagate throughout the life of your system. You will also think about security of your data, people and processes at this stage, not just your system design.