Advances in the Standards & Applied Sciences

Advances in the Standards & Applied Sciences

Artificial Intelligence in Vehicles: Standardization perspectives

Document Type : Case Report

Authors
Nahid Heidari 1
Mohammad Mahdi Share Pasand 2
1 Department of Electrical and Computer Engineering, Faculty of Engineering, Kharazmi University, Karaj, Iran.
2 Electrical Engineering Research Group, Research Center of Technology and Engineering, Standard Research Institute, Karaj, Iran.
10.22034/asas.2025.495087.1070
Abstract
The integration of Artificial Intelligence (AI) in automotive technology, particularly in the context of driverless vehicles, presents significant opportunities and challenges that necessitate a comprehensive approach to standardization, safety, cybersecurity, and ethical considerations. This paper explores the implications of AI in vehicle systems, emphasizing the need for robust regulatory frameworks to address the complexities introduced by intelligent functionalities such as automatic emergency braking, driver drowsiness detection, and automatic vehicle navigation. The selected intelligent features studied in this paper are those known to have significant safety implications. Key issues discussed include the legislative and technical issues regarding the quality of training data, the interplay between AI and cybersecurity, ethical concerns regarding algorithmic decision-making, and the evolving landscape of liability in autonomous systems. The findings underscore the importance of collaboration among industry stakeholders, researchers, and regulatory bodies to foster public trust and ensure the safe integration of AI technologies into everyday transportation.
Keywords
Regulation of artificial intelligence
Security and privacy
ethics
discrimination
Liability
Subjects
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Advances in the Standards & Applied Sciences
Volume 3, Issue 1
Autumn 2024
Pages 23-29