AI Lifecycle
The AI lifecycle is the sequence of stages an AI system goes through, from design and data collection to development, testing, deployment, operation, monitoring and retirement.
What is AI Lifecycle?
Frameworks such as ISO/IEC 22989 and the OECD describe lifecycle stages so that risks and responsibilities can be assigned to each.
How it works
Controls such as data checks, evaluations and monitoring are applied at each stage.
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