What is an AI system?
‘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.
The elements that must be fulfilled for a system to be considered as an artificial intelligence system are the following:
- the system must be device-based;
- it is designed to operate with varying degrees of autonomy;
- it can demonstrate adaptability to explicit or implicit goals once deployed;
- infer from the input data received how to generate output data such as predictions, content, recommendations or decisions;
- Output data may affect physical or virtual environments.
According to the Guidelines on the definition of an AI system, not all conditions need to be fulfilled throughout the life cycle of an AI system, some may be fulfilled only during the development phase of an AI system or during the deployment phase of an AI system, or they may be cumulative.
For more information on the definition of an AI system, please refer to the Guidance in this link.
Relevant Article: Article 3(1)