AI for predictive maintenance in transport: which AI Act rules?
Predictive-maintenance AI predicts servicing from sensor data and is usually not high-risk under the AI Act — it does not decide about people. AI literacy (Art. 4) still applies; as a safety component of a regulated vehicle it can be high-risk.
Short answer: Predictive-maintenance AI — which uses sensor and telematics data to predict when a component will fail — falls under the AI Act but is, in most cases, not a high-risk system. It makes no decisions about people; it is an operational tool. The lightest duty, AI literacy, does apply.
Why it is usually not high-risk
The AI Act classifies systems as high-risk under Annex III (decisions that directly affect people, such as employment, credit or access) or Annex I (AI as a safety component of a regulated product). Predictive maintenance on your fleet or equipment touches neither directly: it optimises servicing, not decisions about people. It therefore usually falls outside the high-risk category.
When it can still be high-risk
If the AI becomes a safety component of a regulated vehicle or machine (Annex I) — for example a system that directly intervenes in braking, steering or drivetrain functions — it may qualify as high-risk. The heavier duties then apply: risk management, data quality, technical documentation and human oversight.
What always applies
- AI literacy (Art. 4): staff who use the system must understand what it can and cannot do, and when a human decides.
- Data quality and GDPR: ensure the provenance and quality of your sensor data. If that data contains personal data (for instance traceable to a driver), the GDPR applies alongside the AI Act.
Read more: AI Act: timeline of obligations. Take the scan.
Sources
- https://eur-lex.europa.eu/eli/reg/2024/1689/oj
Regulation (EU) 2024/1689 (AI Act): risk classification, Art. 4 AI literacy, Annexes I and III. - https://digital-strategy.ec.europa.eu/en/policies/regulatory-framework-ai
European Commission — AI Act: scope and risk categories.
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