AI Systems · Software and Coding
Computing and AI Systems
AI systems depend on computing components, but computing alone does not make a system AI. There are different kinds of AI methods; no single method defines the whole field.
Sources & review
Evidence and review
How Atlas supports this record.
Atlas uses original Kinesema wording. These public sources support narrow parts of the record; they are not endorsements or proof of claims outside the roles shown below.
- Review
- Human reviewed
- AI assistance
- Yes—human reviewed
- Last reviewed
- 2026-08-16
Explanatory memorandum on the updated OECD definition of an AI system
Organisation for Economic Co-operation and Development
- Used here for
- The scoped distinction between an AI system and a model component; machine-learning and knowledge-based technique families; and the roles of training in model development and inference in producing outputs.
- Source use
- Paraphrased from source
- Source type
- official intergovernmental explanatory material; published 2024
Artificial Intelligence Risk Management Framework (AI RMF 1.0)
National Institute of Standards and Technology
- Used here for
- Wider AI-system and deployment context, lifecycle evaluation, human and organizational roles, and the need to test and monitor system behavior and interpret outputs in context.
- Source use
- Paraphrased from source
- Source type
- official government risk-management framework; version 1.0; published 2023
This is a concise first-release record, not a complete course. Examples, terminology, and reviewed connections can grow through later public projections.
Follow the structure
Connected concepts
These are reviewed Atlas relationships, not suggestions inferred from page order or visual proximity. Open a boundary only when you want the extra detail.
Connects to
Agents and Tool Use
An agent is a wider software-system role that may coordinate models, retrieval, tools, rules, and human input within a computing environment.
Connection boundary
This relationship does not make every AI system an agent or give an agent authority merely because a capability is available.
Connects to
Data, Datasets, and Algorithms
AI systems use computing components alongside data and algorithms. These elements can participate in one system, but none of them alone defines the complete system.
Connection boundary
This relationship does not claim that every computing system uses AI or that every AI system uses the same data or algorithmic design.
Connects to
Model Training and Inference
Models, training, and inference can operate as components within a wider AI system built on computing infrastructure.
Connection boundary
This relationship does not make a model equivalent to the complete AI system or imply one universal model lifecycle.
Connected from
Deterministic and Probabilistic Systems
A computing or AI system may combine deterministic validation, routing, or transformation with probabilistic models or decision components.
Connection boundary
This relationship does not classify every AI component as probabilistic, every software component as deterministic, or one mixture as universally preferable.