Handling AI-generated knowledge artifacts in generative product engineering

Becker M, Mollahassani D, Schleifer S, Götz S, Wartzack S, Göbel JC (2026)


Publication Type: Conference contribution

Publication year: 2026

Journal

Publisher: Cambridge University Press

Book Volume: 6

Pages Range: 2173-2182

Conference Proceedings Title: Proceedings of the Design Society

Event location: Dubrovnik HR

DOI: 10.1017/pds.2026.10575

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.

Authors with CRIS profile

Involved external institutions

How to cite

APA:

Becker, M., Mollahassani, D., Schleifer, S., Götz, S., Wartzack, S., & Göbel, J.C. (2026). Handling AI-generated knowledge artifacts in generative product engineering. In Mario Storga, Stanko Skec, Tomislav Martinec, Dorian Marjanovic, Neven Pavkovic (Eds.), Proceedings of the Design Society (pp. 2173-2182). Dubrovnik, HR: Cambridge University Press.

MLA:

Becker, Martin, et al. "Handling AI-generated knowledge artifacts in generative product engineering." Proceedings of the 19th International Design Conference, DESIGN 2026, Dubrovnik Ed. Mario Storga, Stanko Skec, Tomislav Martinec, Dorian Marjanovic, Neven Pavkovic, Cambridge University Press, 2026. 2173-2182.

BibTeX: Download