Technical Concepts

AI Lifecycle

Definition & Explanation

Definition

The complete cycle of an AI system from conception to decommissioning. Includes: design, data collection, training, validation, deployment, monitoring, and maintenance. The AI Act requires risk management throughout the entire lifecycle.

Related Terms

Risk Management System

A continuous iterative process throughout the entire lifecycle of a high-risk AI system, consisting ...

Post-Market Monitoring

The system that providers of high-risk AI must establish to actively collect data about the performa...

Definition

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