The increasing automation of maritime systems is raising the bar for securing the AI components used in these systems. In the BMWE-funded “SIMAS” project, we are collaborating with TKMS and its TKMS ATLAS ELEKTRONIK segment, DNV, and FEV Etamax to develop a new methodology based on a risk-based approach. By integrating AI performance data into Bayesian networks, we are enabling a transparent safety assessment of autonomous maritime vessels.
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