Handling AI-generated knowledge artifacts in generative product engineering

Proceedings of the Design Society 2026 Open access

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Authors: Martin Becker, Damun Mollahassani, Simon Schleifer, Stefan Goetz, Sandro J. Wartzack, Jens C. Göbel
DOI: 10.1017/pds.2026.10575
Cited by: 1
References: 25

Abstract

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.

Fields of Study & Subjects

Design Education and Practice Manufacturing Process and Optimization Digital Transformation in Industry

Publication details

Journal / source
Proceedings of the Design Society
Publisher
Cambridge University Press (CUP)
Volume
6
Pages
2173–2182
Publication date
2 July 2026
Language
EN