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AI lifecycle phases

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

Definition

Distinct stages of an AI system's lifecycle—design, training, deployment and monitoring—identified by the policy to allocate responsibilities and obligations across development, evaluation, documentation and post-deployment oversight.

Israel’s Policy on Artificial Intelligence Regulation and Ethics (Ministry of Innovation, Science and Technology and Ministry of Justice) - 'Responsible Innovation' AI policy

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....

AI system lifecycle

Stages of AI development from data to monitoring....

AI life cycle

Stages from scoping through decommissioning....

AI system life cycle

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

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