Relations Between Explainability, Evaluation and Trust in AI-Based Information Fusion Systems

G. Pavlin,J. P. de Villiers,J. Ziegler,A.-L. Jousselme,P. Costa,K. Laskey,A. de Waal,E. Blasch, L. Jansen

2021 IEEE 24th International Conference on Information Fusion (FUSION)（2021）

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摘要

Explainability is generally considered an important means to gain trust in complex automated decision support systems. Different types of explainability of processes and models used in a complex information fusion solution based on Artificial Intelligence (AI) are relevant throughout its life-cycle, i.e. during the system development as well as its deployment. However, it is often difficult to und...

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Decision support systems,Adaptation models,Runtime,Automation,Conferences,Buildings,Human factors

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