When does AI overlap matter for machinery safety?
Overlap matters most when a safety function depends on software, sensor data, machine learning, autonomous operation, or fully or partially self-evolving behaviour. The Machinery Regulation does not turn every AI feature into a machinery-specific AI issue; the machinery question is whether the system affects an essential health and safety requirement or the conformity assessment route.
The Commission standardisation request describes the machinery-AI intersection as machinery products with systems ensuring safety functions, with fully or partially self-evolving behaviour using machine learning approaches. CEN-CENELEC Q&A material also frames the issue around predictability: for Machinery Regulation purposes, the concern is relevant when unpredictable or self-evolving behaviour concerns a safety function.
- Start with the safety function, not with the marketing label for the algorithm.
- Record whether the product is machinery, a related product, partly completed machinery, or a safety component.
- Identify whether the safety-related operation is controlled by software, external connections, sensor data, autonomous behaviour, or machine-learning logic.
- Keep a separate note for AI Act applicability; the machinery file should not claim full AI Act compliance unless that separate assessment has been completed.
Defines conformity assessment, source code, safety components, Annex I categories, essential health and safety requirements, and technical documentation for machinery.
Grounds the limited AI-overlap point: machinery products can contain high-risk AI systems where systems ensure safety functions with fully or partially self-evolving behaviour using machine learning approaches.
Explains that the Machinery Regulation gap analysis is about the Machinery Directive versus Machinery Regulation, and that AI/CRA additional requirements are outside that exercise.