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Probabilistic Modelling of Operational Design Domains, A New Approach for Testing AI Systems

Wiesbrock, Hans-Werner
arXiv (All) · Papers
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g-3machine-learning
The conventional testing process quickly fails when applied to ML-based systems such as obstacle detection in vehicles: if an obstacle is not detected in a test, classical bug fixing is impossible and an AI system will always retain shortcomings. Test results can therefore only be interpreted statis
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