AI Lifecycle Systems

AI Lifecycle Systems encompass the processes and methodologies involved in the development, deployment, and maintenance of artificial intelligence systems. These systems include various stages such as data collection, model training, evaluation, and continuous improvement to ensure effective and ethical AI performance.

IRI: http://lmss.sali.org/RBHMad8oNmYXkYHOHZLCgqv
Branch: Legal Use Cases
Children: 16

Also known as

Artificial Intelligence Lifecycle Systems, AI Development Lifecycle, AI System Lifecycle, Intelligent System Lifecycle, Machine Learning Pipeline

Ancestry paths

Legal Use Cases Artificial Intelligence System Taxonomy
Objectives Artificial Intelligence System Taxonomy

Children 16

Adversarial Machine Learning
Autonomous AI System
Big Data
Data Augmentation
Data Poisoning
Feature Engineering
Knowledge Representation
Lifecycle of an AI System
Loss Function
Machine Learning
Natural Language Processing
Prompt
Prompt Engineering
Reinforcement Learning
Synthetic Data
Training Data

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