Lifecycle of an AI System
The Lifecycle of an AI System encompasses the series of phases involved in the development, deployment, and maintenance of an AI system. These phases include planning and design, data collection and processing, model building, testing, evaluation, verification, validation, deployment, and operation and monitoring, often occurring iteratively, rather than sequentially.
Also known as
AI Development Cycle, AI System Lifecycle, Automated System Development Cycle, Intelligent System Lifecycle
Ancestry paths
Generated from sali-legal/LMSS at 3f9ac0c9357b (2026-03-10). JSON