Managing Knowledge of Intelligent Systems The Design of a Chatbot Using Domain-Specific Knowledge

被引:0
|
作者
Grum, Marcus [1 ]
Kotarski, David [1 ]
Ambros, Maximilian [2 ]
Biru, Tibebu [2 ]
Krallmann, Hermann [2 ]
Gronau, Norbert [1 ]
机构
[1] Univ Potsdam, Potsdam, Germany
[2] Krallmann AG, Berlin, Germany
关键词
Domain-specific language; Morphologic box; Explainability;
D O I
10.1007/978-3-030-79976-2_5
中图分类号
F [经济];
学科分类号
02 ;
摘要
Since more and more business tasks are enabled by Artificial Intelligence (AI)-based techniques, the number of knowledge-intensive tasks increase as trivial tasks can be automated and non-trivial tasks demand human-machine interactions. With this, challenges regarding the management of knowledge workers and machines rise [9]. Furthermore, knowledge workers experience time pressure, which can lead to a decrease in output quality. Artificial Intelligence-based systems (AIS) have the potential to assist human workers in knowledge-intensive work. By providing a domain-specific language, contextual and situational awareness as well as their process embedding can be specified, which enables the management of human and AIS to ease knowledge transfer in a way that process time, cost and quality are improved significantly. This contribution outlines a framework to designing these systems and accounts for their implementation.
引用
收藏
页码:78 / 96
页数:19
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