Also known as: Testing In Real World Conditions
Testing in real-world conditions is the temporary assessment of an AI system in its intended operational environment rather than in a laboratory or simulation. Under the EU AI Act framing, it is used to gather robust data and verify conformity without necessarily counting as market placement or putting the system into service, provided the required legal conditions are met.
The temporary testing of an AI system for its intended purpose in real-world conditions outside a laboratory or otherwise simulated environment, with a view to gathering reliable and robust data and to assessing and verifying the conformity of the AI system with the requirements of this Regulation; it does not qualify as placing the AI system on the market or putting it into service within the meaning of this Regulation, provided that all the conditions laid down in ArticleΒ 57 or 60 are fulfilled.