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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.

Extending the function failure modes taxonomy for intelligent systems with embedded AI components

Felician Campean (1), Unal Yildirim (2), Aleksandr Korsunovs (1), Aleksandr Doikin (1)

Type:
Papers
DS 129: Proceedings of the DESIGN2024 18th International Design Conference
Year:
2024
Editor:
Mario Štorga, Stanko Škec, Tomislav Martinec, Dorian Marjanović, Neven Pavković, Marija Majda Škec
Author:
Felician Campean (1), Unal Yildirim (2), Aleksandr Korsunovs (1), Aleksandr Doikin (1)
Series:
DESIGN
Institution:
1: University of Bradford, United Kingdom; 2: Hubei Key Laboratory of Automotive Power Train and Electronic Control, China
Section:
Artificial Intelligence and Data-Driven Design
Page(s):
1949-1958
DOI number:
10.1017/pds.2024.197
ISSN:
2732-527X (Online)
Abstract:
Early consideration of failure modes in the feature development process is essential to identify and trace risks across the physical and embedded AI components of intelligent systems, to enhance the robustness of the feature delivery as well as trust in the AI. This paper introduces an extension of the AIAG/VDA function failure modes taxonomy, to facilitate the integrated analysis of complex intelligent systems with embedded AI. A case study of an autonomous driving feature is discussed as validation of the proposed taxonomy.
Keywords:
robust design, systems engineering (SE), autonomous systems, embedded AI, failure mode and effect analysis (FMEA)
18th International Design Conference (DESIGN 2024)
Conferences

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