On the Need of an Explainable Artificial Intelligence

被引：1

作者：

Zanni-Merk, Cecilia ^{[1
]}

机构：

[1] Normandie Univ, INSA Rouen, LITIS, St Etienne Du Rouvray, France

来源：

INFORMATION SYSTEMS ARCHITECTURE AND TECHNOLOGY, ISAT 2019, PT I | 2020年 / 1050卷

关键词：

D O I：

10.1007/978-3-030-30440-9_1

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

This plenary talk will explore a fascinating nex research field: the Explainable Artificial Intelligence (or XAI), whose goal if the building of explanatory models, to try and overcome the shortcomings of pure statistical learning by providing justifications, understandable by a human, for decisions or predictions made by them.

引用

页码：3 / 3

页数：1

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