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Clear out junk files and repair common Windows errorsFree Scan →Scan for outdated or missing drivers - takes under a minuteDriver Scan →Artificial intelligence regulation is the body of laws, rules, and governance requirements that apply to AI systems. There is no single definition of AI that governs every jurisdiction. The EU AI Act provides a precise statutory example, but its definition is the EU’s—not a universal legal definition.
What is the EU AI Act’s definition of an AI system?
Article 3(1) of the EU AI Act defines an AI system as:
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“‘AI system’ means a machine-based system that is designed to operate with varying levels of autonomy and that may exhibit adaptiveness after deployment, and that, for explicit or implicit objectives, infers, from the input it receives, how to generate outputs such as predictions, content, recommendations, or decisions that can influence physical or virtual environments.”
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This is the definition in Regulation (EU) 2024/1689, consolidated as at 27 July 2026. Read the EU AI Act.
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What does “inference” mean in this definition?
The definition focuses on a system’s capacity to infer how to produce outputs from inputs, rather than on a product’s label or a particular technique. Recital 12 of the AI Act says, “A key characteristic of AI systems is their capability to infer.”
The European Commission’s guidance explains that the definition is intended to distinguish AI systems from simpler traditional software. A system based solely on rules defined by natural persons to automatically execute operations is not covered on that basis alone. But the definition is not limited to machine learning: the Commission discusses both machine-learning and logic- or knowledge-based approaches. See the Commission’s definition guidance.
How is AI regulation different from an AI definition?
A definition identifies what a rule refers to; regulation sets requirements and responsibilities. The EU AI Act establishes harmonized rules for placing AI systems on the market, putting them into service, and using them in the Union. Its provisions address prohibited practices, high-risk systems, transparency requirements, general-purpose AI models, monitoring, governance, and enforcement. It is therefore a legal framework, not just a vocabulary standard.
Is an AI model the same as an AI system?
No. Under the EU AI Act, a model may be a component integrated into an AI system; a model by itself does not automatically constitute an AI system. Generative models are one example of general-purpose models, while the legal category of an AI system concerns the system and its other components. Whether a particular technology meets the definition depends on its features and the applicable jurisdiction. The European Commission explains the model–system distinction.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.How do the OECD and NIST describe or address AI?
The OECD’s updated definition is closely aligned with the AI Act’s emphasis on systems that infer outputs from inputs. It likewise describes systems that generate predictions, content, recommendations, or decisions that can influence physical or virtual environments, and recognizes variation in autonomy and adaptiveness. This alignment does not make the definitions identical or turn the OECD definition into law. Read the OECD glossary entry.
NIST’s AI Risk Management Framework (AI RMF) is a voluntary resource for organizations designing, developing, deploying, or using AI systems. It is not itself a general AI statute. These sources have different roles:
Quick Recap
| Source | Role | What it contributes |
|---|---|---|
| EU AI Act | Binding EU law | Defines AI systems for the Act and establishes legal rules and obligations within its scope. |
| European Commission definition guidance | Official interpretive guidance | Explains how the AI Act’s definition distinguishes AI systems from simpler software and discusses covered approaches. |
| OECD definition | International policy definition | Offers closely aligned terminology, but is not itself a statute. |
| NIST AI RMF | Voluntary risk-management framework | Helps organizations manage AI risks; it does not itself impose general statutory duties. |
Read the NIST AI RMF 1.0 executive summary.
What should you take away from the definition?
- “AI regulation” refers broadly to laws, rules, and governance requirements; the phrase alone does not identify a jurisdiction or a single universal definition.
- The EU AI Act’s definition centers on a machine-based system that infers outputs from inputs, with varying levels of autonomy and possible adaptiveness after deployment.
- Not every automated program is necessarily an AI system, and AI is not limited to machine learning.
- A model is not automatically an AI system under the Act; it may be one component of a larger system.
- The OECD definition and NIST framework are useful comparators, but they do not have the same legal status or function as EU law.
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