Title: Integrating artificial intelligence in industrial design: evolution, applications, and future prospects

Authors: Zhenyu Li; Yiyuan Ding; Yaxiong Lei; Fernando Jorge Matias Sanches Oliveira; Maria João Pereira Neto; Mário Say Ming Kong

Addresses: The School of Design, Jiangnan University, Wuxi, China ' Department of Design, Faculty of Architecture, University of Lisbon, Lisbon, Portugal ' School of Computer Science, University of St Andrews, St Andrews, KY16 9SX, UK ' Tecnologia e Comunicacao, IADE-UE Faculdade de Design, Lisbon, Portugal ' Department of Design, Faculty of Architecture, University of Lisbon, Lisbon, Portugal; CHAM – Centro de Humanidades, FCSH, Universidade NOVA de Lisboa, Lisbon, Portugal ' Department of Architecture, Faculty of Architecture, University of Lisbon, Lisbon, Portugal; CHAM – Centro de Humanidades, FCSH, Universidade NOVA de Lisboa, Lisbon, Portugal

Abstract: The article 'AI in industry design' researches through a scholarly dimension the complex interrelation of artificial intelligence (AI) with the field of industrial design. The paper will seek to discuss the historical trajectory and contemporary application of AI in design paradigm, discussing these paradigms using an analytical approach that is based on the systematic review of available literature. Special emphasis is paid to the transforming roles of AI in material selection and their implication in paradigmatic shifts from Industry 4.0 to Industry 5.0. The research further underscores the growth in importance of distributed artificial intelligence (DAI) and, in this direction, considers more transparency through explainable AI (XAI). Conclusively, it can be said that the research underlines the seminal influence of AI, which exerts in revolutionising methodologies in design, thereby bringing out the indelible impact it shall leave on the future course of this discipline.

Keywords: artificial intelligence; AI; industrial design; distributed artificial intelligence; DAI; Industry 4.0; Industry 5.0; explainable AI; XAI.

DOI: 10.1504/IJART.2024.143124

International Journal of Arts and Technology, 2024 Vol.15 No.2, pp.139 - 169

Received: 09 Jun 2024
Accepted: 28 Jun 2024
Published online: 03 Dec 2024 *

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