AI Act Article 3
The section of the EU AI Act that defines what specific words and phrases mean in law, so everyone reads the rules the same way.
The Simple Version
The section of the EU AI Act that defines what specific words and phrases mean in law, so everyone reads the rules the same way.
Detailed Explanation
Article 3 of Regulation (EU) 2024/1689 contains over 60 definitions that anchor the operative obligations in the rest of the Act. The definition of 'AI system' aligns with the OECD AI Principles definition, emphasising that an AI system must infer from inputs how to generate outputs such as predictions, recommendations, or decisions. Precise definitions matter because obligations, including conformity assessment and transparency duties, apply only to systems and actors that meet the statutory definitions.
Key Characteristics
- Over 60 legally precise definitions that trigger or exclude obligations
- Adopts OECD-aligned definition of 'AI system' emphasising inference and autonomy
- Distinguishes between providers (who place AI on the market) and deployers (who use it)
- Definitions evolve via delegated acts to keep pace with technology
Why It Matters
Legal and compliance teams must verify whether their products and roles meet statutory definitions before determining which obligations apply. Misclassifying a system or role can result in either over-compliance costs or regulatory exposure.
Real-World Analogy
A building code's glossary page: if your structure meets the definition of 'high-rise', specific fire-safety rules kick in. If it does not meet that definition, a different set of rules applies.
Common Misconceptions
- Any software with an ML component automatically qualifies as an 'AI system' under the Act, the definition requires the system to generate outputs with a degree of autonomy, excluding simple rule-based software.
- Definitions in Article 3 are fixed, the Act allows the Commission to update definitions through delegated acts.