ritchie*studio accepts the EU definition of AI systems and agreed by the OECD:
“An AI system is a machine-based system 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 act also contains a definition of general purpose artificial intelligence (GPAI) models ‘that are trained with a large amount of data using self-supervision at scale’, that display ‘significant generality’ and are ‘capable to competently perform a wide range of distinct tasks’ and ‘can be integrated into a variety of downstream systems or applications’. Furthermore, the AI act defines general-purpose AI systems as systems based on a GPAI model, which have the capability to serve a variety of purposes, both for direct use as well as for integration in other AI systems.
We also recognise that the EU AI Act adopts a risk-based approach and classifies AI systems into several risk categories, with different degrees of regulation applying.
Data source:
EU Artificial Intelligence Act 2024: Briefing
See also History of AI