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Managing knowledge of intelligent systems
- 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.
Author details: | Marcus GrumORCiDGND, David Kotarski, Maximilian Ambros, Tibebu Biru, Hermann Krallmann, Norbert GronauORCiDGND |
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DOI: | https://doi.org/10.1007/978-3-030-79976-2_5 |
ISBN: | 978-3-030-79975-5 |
ISBN: | 978-3-030-79976-2 |
Title of parent work (English): | Business modeling and software design : 11th International Symposium, BMSD 2021, Sofia, Bulgaria, July 5–7, 2021, Proceedings |
Subtitle (English): | the design of a chatbot using domain-specific knowledge |
Publisher: | Springer International Publishing |
Place of publishing: | Cham |
Editor(s): | Boris Shishkov |
Publication type: | Part of a Book |
Language: | English |
Date of first publication: | 2021/07/02 |
Publication year: | 2021 |
Release date: | 2023/09/20 |
Tag: | domain-specific language; explainability; morphologic box |
Volume: | 422 |
Number of pages: | 19 |
First page: | 78 |
Last Page: | 96 |
Organizational units: | Wirtschafts- und Sozialwissenschaftliche Fakultät / Wirtschaftswissenschaften / Fachgruppe Betriebswirtschaftslehre |
DDC classification: | 3 Sozialwissenschaften / 33 Wirtschaft / 330 Wirtschaft |
Peer review: | Referiert |