'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;
How this was checked
What counts as an AI system
Verified · last checked Settled, with the evidence a claim at this level needs.
The EU AI Act defines an AI system as a machine-based system designed to operate with varying levels of autonomy, which may show adaptiveness after deployment and which, 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.
At a glance
The statement laid out, in its own words. The statement above and its sources are what count.
The parts of the definition
- A machine-based system
- designed to operate with varying levels of autonomy
- which may show adaptiveness after deployment
- and which, 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
Where the book relies on it
- The AI Act File, Which of your AI the law touches. Read this chapter
- Kind of evidence
- documentarySettled by a first-hand source, quoted below with the day it was read.
The evidence
(30) [Recital 12 AI Act further clarifies that] '[t]he techniques that enable inference while building an AI system include machine learning approaches that learn from data how to achieve certain objectives, and logic- and knowledge-based approaches that infer from encoded knowledge or symbolic representation of the task to be solved.' (42) Systems used to improve mathematical optimisation or to accelerate and approximate traditional, well established optimisation methods, such as linear or logistic regression methods, fall outside the scope of the AI system definition. [...] An indication that a system does not transcend basic data processing could be that it has been used in consolidated manner for many years. (46) Basic data processing system refers to a system that follows predefined, explicit instructions or operations. These systems are developed and deployed to execute tasks based on manual inputs or rules, without any 'learning, reasoning or modelling' at any stage of the system lifecycle. (49) All machine-based systems whose performance can be achieved via a basic statistical learning rule, while technically may be classified as relying on machine learning approaches fall outside the scope of the AI system definition, due to its performance.
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