Vol. 1 No. 1 (2021): African Journal of Artificial Intelligence and Sustainable Development
Articles

Ethical Considerations in Human-Vehicle Interaction - NLP and Computational Intelligence Solutions for Avs: Examines ethical considerations in human-vehicle interaction in AVs, proposing NLP and computational intelligence solutions

Dr. Aïsha Diallo
Associate Professor of Computer Science, Cheikh Anta Diop University, Senegal
Cover

Published 30-05-2021

Keywords

  • Ethical considerations,
  • Human-vehicle interaction,
  • Autonomous vehicles

How to Cite

[1]
Dr. Aïsha Diallo, “Ethical Considerations in Human-Vehicle Interaction - NLP and Computational Intelligence Solutions for Avs: Examines ethical considerations in human-vehicle interaction in AVs, proposing NLP and computational intelligence solutions”, African J. of Artificial Int. and Sust. Dev., vol. 1, no. 1, pp. 37–44, May 2021, Accessed: Nov. 07, 2024. [Online]. Available: https://africansciencegroup.com/index.php/AJAISD/article/view/34

Abstract

Autonomous vehicles (AVs) represent a transformative technology poised to revolutionize transportation. As AVs interact more closely with humans, ethical considerations regarding their behavior and decision-making become paramount. This paper explores the ethical challenges in human-vehicle interaction (HVI) and proposes solutions leveraging natural language processing (NLP) and computational intelligence. We discuss the importance of ethical HVI, the current state of AV ethics, and the role of NLP and computational intelligence in addressing these challenges. Our proposed solutions focus on enhancing communication between AVs and humans, improving decision-making processes, and ensuring safety and trust in HVI. Through a comprehensive review, we highlight key ethical dilemmas and offer insights into future research directions to promote responsible development and deployment of AVs.

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References

  1. Vemori, Vamsi. "Evolutionary Landscape of Battery Technology and its Impact on Smart Traffic Management Systems for Electric Vehicles in Urban Environments: A Critical Analysis." Advances in Deep Learning Techniques 1.1 (2021): 23-57.
  2. Tatineni, Sumanth. "Recommendation Systems for Personalized Learning: A Data-Driven Approach in Education." Journal of Computer Engineering and Technology (JCET) 4.2 (2020).
  3. Vemoori, Vamsi. "Comparative Assessment of Technological Advancements in Autonomous Vehicles, Electric Vehicles, and Hybrid Vehicles vis-à-vis Manual Vehicles: A Multi-Criteria Analysis Considering Environmental Sustainability, Economic Feasibility, and Regulatory Frameworks." Journal of Artificial Intelligence Research 1.1 (2021): 66-98.