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  • Photo du rédacteurHélène Dufour

Understanding Explainability and Interpretability for Risk Science Applications

The paper explores how advanced technologies like AI pose both potential and complexity in risk and safety applications. It delves into explainability and interpretability within risk science, emphasizing their role in enhancing assessment, management, and communication of risks, illustrated with autonomous vehicles examples. Aimed at stakeholders navigating tech's impact on risk.


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