Barriers to the use of artificial intelligence in the product development - a survey of dimensions involved

DS 122: Proceedings of the Design Society: 24th International Conference on Engineering Design (ICED23)

Year: 2023
Editor: Kevin Otto, Boris Eisenbart, Claudia Eckert, Benoit Eynard, Dieter Krause, Josef Oehmen, Nad
Author: Müller, Benedikt; Roth, Daniel; Kreimeyer, Matthias
Series: ICED
Institution: University of Stuttgart
Section: Design Methods
Page(s): 0757-0766
DOI number:


Artificial intelligence (AI) is seen as a great opportunity to secure future competitiveness in many corporate sectors. Potential for its use also exists in product development (PD) activities due to the amount of data generated and processed. Nevertheless, there are problems in applying the technology. This paper addresses current challenges based on a literature review, considering three disciplines that are necessary for the scope of this paper as a minimum: AI itself, information technology infrastructures (ITI) in context of digital transformation (DT), and PD as an application area. Building on the basic considerations of the state of the art, a link between the domains is established by outlining a possible reference framework towards the utilization of AI applications in PD. This enables an expanded interdisciplinary understanding. Key obstacles appear specifically to be difficult collaboration conditions between the disciplines of PD and AI applications development due to communication problems. Reasons for this include:
- Meta models of PD do not provide a sufficient information base
- Lack of standardized process models for the deployment of AI

Keywords: Artificial intelligence, Design methodology, Machine learning, Multi- / Cross- / Trans-disciplinary processes, Small and medium-sized enterprises

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