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SAFE-AUTO: Anticipating Chemical Hazards and Accident Risks in the Automotive Industry

CORDIS · observation · Publication date unknown

ject will create predictive models that identify patterns and anticipate chemical exposures and accident scenarios specific to automotive workplaces before they occur. Depending on the research need, machine learning or other AI methods, combined with explainable modelling and simulations, will ensure reliability, transparency, and fairness of the results. The framework will be validated with industrial stakeholders and aligned with ISO 45001 and EU safety guidelines. This proactive approach will support compliance with EU directives and promote safer, more sustainable industrial practices. SAFE-AUTO will deliver impacts at several levels. Scientifically, it advances the use of ML/AI in occupational safety. Practically, it reduces accidents, chemical exposures, and production losses. Societally, it strengthens Europe’s commitment to a safe and healthy working environment, consistent with the EU Strategic Framework on Health and Safety at Work 2021–2027 and indirectly supporting the European Green Deal by reducing waste, pollution, and resource losses linked to industrial accidents. O

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recordType

award

status

SIGNED

region

EU

value

191918.16

unit

EUR