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AI life cycle

Stages from scoping through decommissioning.

Definition

The sequence of stages for an AI system, including problem scoping, data preparation, model design and development, testing, deployment, monitoring and decommissioning, which the Guidelines require firms to manage and document.

Guidelines on AI Risk Management for Financial Institutions (MAS consultation paper)

Related Terms

Life cycle

The sequence of phases governing an AI system from design to decommissioning....

AI lifecycle

Stages of AI from planning through decommissioning....

Model lifecycle

Phases from design and data curation to decommissioning....

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Design, training, deployment, and monitoring stages of AI systems....

AI system life cycle

Phased lifecycle from design to decommissioning for AI governance....

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