Notice
This item was automatically migrated from a legacy system. It's data has not been checked and might not meet the quality criteria of the present system.
Record link: 
http://hdl.handle.net/20.500.12708/68100
-
Title: 
Epistemic Debt: A Concept and Measure of Technical Ignorance in Smart Manufacturing
-
Citation: 
Ionescu, T., Schmidbauer, C., & Schlund, S. (2019). Epistemic Debt: A Concept and Measure of Technical Ignorance in Smart Manufacturing. In Advances in Intelligent Systems and Computing (pp. 81–93). Springer-Verlag. https://doi.org/10.1007/978-3-030-20040-4_8
-
Publisher DOI: 
10.1007/978-3-030-20040-4_8
-
Publication Type: 
Inproceedings - Full-Paper Contribution
en
Authors: 
Ionescu, Tudor 
Schmidbauer, Christina 
Schlund, Sebastian 
-
Organisational Unit: 
E330-03 - Forschungsbereich Mensch-Maschine-Interaktion 
-
Published in: 
Advances in Intelligent Systems and Computing 
-
Date (published): 
2019
-
Number of Pages: 
13
-
Publisher: 
Springer-Verlag
-
Peer reviewed: 
No
-
Keywords: 
Epistemic opacity Generative entrenchment CPPS Secrecy Collaborative robots Machine learning
-
Abstract: 
N/A
de
 
This paper introduces the notion of epistemic debt as an analytical tool for understanding and managing the effects of technical ignorance in smart manufacturing. Drawing on the concepts of technical and social debt from software engineering, the metaphor of epistemic debt refers to the implied long-term costs of rework (e.g., redesign, replacement, reconfiguration or systems and/or organizational...
en
Research Areas: 
Visual Computing and Human-Centered Technology: 100%
-
Science Branch: 
Wirtschaftswissenschaften
Soziologie
-
Appears in Collections:
Conference Paper

Show full item record

Page view(s)

130
checked on Nov 20, 2023

Google ScholarTM

Check