Issue |
E3S Web Conf.
Volume 556, 2024
International Conference on Recent Advances in Waste Minimization & Utilization-2024 (RAWMU-2024)
|
|
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Article Number | 01039 | |
Number of page(s) | 7 | |
DOI | https://doi.org/10.1051/e3sconf/202455601039 | |
Published online | 09 August 2024 |
Role of Artificial Intelligence in Revolutionizing the Automotive Industry: A Review
1 Department of Research Facilitation, Research and Development Cell, Lovely Professional University Phagwara, India
2 School of Computer Science and Engineering, Lovely Professional University Phagwara, India
3 School of Electronics and Electrical Engineering, Lovely Professional University Phagwara, India
* Correspondence Author: varunbhat02@gmail.com
AI is now a days adopted in various applications such as industries and automotive companies. AI initiatives, collaborations, and partnerships in advancing providing case studies of AI implementation in automotive manufacturing. Addressing regulatory and ethical considerations is crucial in the adoption of AI-driven automotive innovation. Legal barriers and compliance challenges, good consideration of AI in self-independent vehicles are discussed in this paper and strategies for ensuring safety and accountability. Looking towards the future, the paper anticipates trends in AI-driven automotive innovation, discusses technological challenges, research directions, socio-economic impacts, and policy recommendations. It provides insights into key findings, implications for the future of the automotive industry, and final thoughts and recommendations for stakeholders. Overall, comprehensive guide to understanding the role of artificial intelligence in driving towards autonomy & reshaping the vehicle manufacturing industry. Furthermore, give provision of precise knowledge for policy makers, experimenters, industry professionals and researchers who are enthusiastic towards this knowledge.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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