Vol. 3 No. 2 (2023): African Journal of Artificial Intelligence and Sustainable Development
Articles

Explainable AI for Transparent Decision-Making in Autonomous Vehicles - A Human Factors Perspective: Utilizes explainable AI techniques to facilitate transparent decision-making in AVs from a human factors viewpoint

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  • Dr. Gabriela Gómez-Marín
Dr. Gabriela Gómez-Marín
Professor of Industrial Engineering, National University of Colombia
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Published 14-09-2023

Keywords

  • Explainable AI,
  • Autonomous Vehicles,
  • Transparent Decision-Making
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This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

How to Cite

[1]
Dr. Gabriela Gómez-Marín, “Explainable AI for Transparent Decision-Making in Autonomous Vehicles - A Human Factors Perspective: Utilizes explainable AI techniques to facilitate transparent decision-making in AVs from a human factors viewpoint”, African J. of Artificial Int. and Sust. Dev., vol. 3, no. 2, pp. 48–55, Sep. 2023, Accessed: Nov. 07, 2024. [Online]. Available: https://africansciencegroup.com/index.php/AJAISD/article/view/71

Abstract

Autonomous vehicles (AVs) are poised to revolutionize transportation, but their widespread adoption hinges on public trust, particularly in the transparency of their decision-making processes. Explainable AI (XAI) offers a pathway to demystify AV decisions, enhancing human understanding and trust. This paper explores the application of XAI techniques to facilitate transparent decision-making in AVs from a human factors perspective. We discuss key human factors considerations in designing XAI systems for AVs and propose strategies to enhance transparency while considering human cognitive limitations and preferences. Additionally, we highlight challenges and future research directions in this emerging field.

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References

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