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In addition to research papers, the Design Society is developing several valuable resources for those interested in the study of design. These include a repository of PhD theses, a library of case studies and transcripts of design activities, and an archive of our newsletters. Please note that these resources are accessible exclusively to Design Society members.

Handling AI-generated knowledge artifacts in generative product engineering

Becker, Martin (1); Mollahassani, Damun (1); Schleifer, Simon (2); Goetz, Stefan (2); Wartzack, Sandro J. (2); Göbel, Jens C. (1)

Type:
Papers
DS 145: Proceedings of the DESIGN2026 19th International Design Conference
Year:
2026
Editor:
Štorga, M.; Škec, S.; Martinec, T.; Marjanović, D.; Pavković, N.
Author:
Becker, Martin (1); Mollahassani, Damun (1); Schleifer, Simon (2); Goetz, Stefan (2); Wartzack, Sandro J. (2); Göbel, Jens C. (1)
Series:
DESIGN
Institution:
1: RPTU University Kaiserslautern-Landau, Germany; 2: Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany
Page(s):
2173-2182
DOI number:
10.1017/pds.2026.10575
ISSN:
2732-527X (Online)
Abstract:
Development of complex interdisciplinary products increases engineering challenges, that AI supported engineering approaches attempt to reduce by increasing automation. The resulting AI generated engineering artifacts, however, need to be classified, verified and managed to enable traceability and auditability of engineering decisions. This paper presents a classification and management approach for these artifacts, allowing verification of AI generated engineering artifacts. A use case on the iterative development of an e-bike demonstrates the approach.
Keywords:
artificial intelligence (AI), knowledge management, model-based systems engineering (MBSE), product lifecycle management (PLM)
DESIGN2026 - The 19th International Design Conference
Conferences

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