AI system
Yapay zekâ sistemi
D1
An AI system is a machine-based system that infers from inputs how to generate outputs such as predictions, content, recommendations, or decisions for explicit or implicit objectives.
Review status: 2027-02-23
Technical explanation
It combines inputs with one or more models or other computational components; its outputs can influence physical or virtual environments.
Conceptual boundaries
An AI model is a component used to make inferences from inputs to produce outputs, and a system may contain more than one model or other computational approaches.
Provider-neutral example
A document-routing system can combine incoming text, a trained model, and escalation rules to suggest a destination queue.
Limitations
This entry uses the AI Act’s terminology for an AI system and does not state a legal-compliance conclusion.
Related concepts
Atomic claims and evidence
1.1Regulation (EU) 2024/1689 (Artificial Intelligence Act)
- Source
- Regulation (EU) 2024/1689 (Artificial Intelligence Act)
- Source role
- Authoritative source
- Exact locator
- Article 3(1)
- Supported claim
- The EU AI Act defines an AI system as a machine-based system that infers from inputs how to generate specified kinds of outputs for explicit or implicit objectives.
- Last verification
- Review due
- Scope limitation
- This is the Act’s definition for that Regulation, not the only possible scientific definition.
2.1OECD, Explanatory Memorandum on the Updated OECD Definition of an AI System
- Source
- OECD, Explanatory Memorandum on the Updated OECD Definition of an AI System
- Source role
- Authoritative source
- Exact locator
- Building AI systems and models, AI model paragraph, p. 7
- Supported claim
- An AI model is a core component of an AI system used to make inferences from inputs to produce outputs.
- Last verification
- Review due
- Scope limitation
- A system may contain more than one model or use other computational approaches.