AI system (Article 3 EU AI Act)
Machine-based system with a degree of autonomy under Art. 3(1) AI Act
TL;DR
Under Art. 3(1) EU AI Act, an AI system is a machine-based system that operates with varying levels of autonomy, that may exhibit adaptiveness after deployment and that produces inferences from inputs (predictions, content, recommendations, decisions).
What is an AI system (Article 3 EU AI Act)?
The definition was set out in more detail by the Commission guidelines C(2025) 5053 final of 29 July 2025. Seven core elements of the definition: (1) machine-based system, (2) degree of autonomy, (3) adaptiveness after deployment (possible, not mandatory), (4) inputs, (5) inferences, (6) explicit or implicit objectives, (7) influence on physical or virtual environments.
Important distinctions: classic rule-based software is NOT an AI system. Standard statistical analysis tools (for example Excel pivot tables) are not either. A simple forecasting model using linear regression is a borderline case — the guidelines regard the 'learning character' as decisive.
Practical example
Clear examples of AI systems under Article 3:
- Generative AI (ChatGPT, Claude, Gemini)
- Image recognition (for example defect detection in production)
- Recommender systems (Netflix, Amazon)
- HR recruiting algorithms
- Predictive maintenance models
Clearly not AI:
- Excel formulas and pivot tables
- Classic SQL reports
- Rule-based workflows without a learning component