AI System (Regulatory Definition)
A machine-based system designed to operate with varying levels of autonomy, that may exhibit adaptiveness after deployment, and that infers from input how to generate outputs, predictions, content, recommendations, or decisions, that can influence physical or virtual environments.
This definition is deliberately broad. The key differentiator from traditional software is design for autonomous operation. The presence of inference from input to output, rather than deterministic rule execution, marks the regulatory boundary.
The definition encompasses both narrow and general AI, supervised and unsupervised systems, and explicitly includes systems that adapt post-deployment (addressing continual learning scenarios).
Related:, 05-atom—automation-bias-regulatory-recognition, 05-molecule—risk-based-ai-classification