Conference Papers Year : 2024

In Search for Model-Driven eXplainable Artificial Intelligence

Abstract

This paper reports on ongoing and innovative research in the area of eXplainable Artificial Intelligence (XAI). A classical XAI task is considered as finding an explanation of the model generated via Machine Learning by identifying the most influential variables for local decision-making. Such an approach suffers from severe limitations. The proposed approach moves the explanatory process to a new, knowledge-level dimension. It is oriented towards Model Discovery, i.e. the internal structure and functions of the components. The concept of Model-Driven XAI is put forward and explained with examples. An experiment on Function Discovery via Grammatical Evolution is reported in brief.
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Friday, January 1, 2027
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Friday, January 1, 2027
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Dates and versions

hal-04948686 , version 1 (14-02-2025)

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Antoni Ligęza, Dominik Sepioło. In Search for Model-Driven eXplainable Artificial Intelligence. 10th IFIP International Workshop on Artificial Intelligence for Knowledge Management (AI4KMES), Sep 2023, Krakow, Poland. pp.11-26, ⟨10.1007/978-3-031-61069-1_2⟩. ⟨hal-04948686⟩
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