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Artificial Intelligence as challenge for approval processes in the railway transport

In the current issue of Eisenbahntechnische Rundschau (issue 4/2022), a technical article by PD Dr.-Ing. habil. Lars Schnieder has been published.

Digital technologies are penetrating ever further into all areas of the railroad system. Artificial intelligence, for example, enables predictive maintenance and increases the efficiency of rail operations. The basis for AI systems is formed by efficient algorithms for environment perception, which also include safety-relevant functions. The application of non-deterministic algorithms and decision-making processes that are opaque to humans require a paradigm shift in the approval of technical systems.

In the article, Lars Schnieder outlines protection goals, product liability issues, and the future regulatory framework for AI systems outlined by the European Union Commission.

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