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Who is Liable for the UBER Self-Driving Crash? Analysis of the Liability Allocation and the Regulatory Model for Autonomous Vehicles

In: Autonomous Vehicles

Author

Listed:
  • Shanshan He

    (Intelligent & Connected Mobility Academy, Anli&Partners)

Abstract

It is widely believed that autonomous vehicles will significantly reduce the number of car accidents and therefore save lives. However, autonomous vehicles will also crash. Uber’sUber fatal self-driving crash in 2018 has attracted attention from all over the world. This article analyzes the Uber crash case from the perspective of Chinese law. If the Uber crash happened in China, both Uber and the driverDriver would be at faultFault. Uber disabled the test vehicle’s original emergency braking function under computer control, causing a defectDefect in the test vehicle. Therefore, the original car manufacturerManufacturer could be exempted from liability due to Uber’s conversion of the vehicle. Uber’s aggressive testing attitude has also played a role in this fatal accident. Besides, the safety driver was on the job when the collision occurred. Therefore, her employer Uber, would be liable for damages resulting from the accident. By analyzing the Uber case under the context of the Chinese legal regime, we found that in the event of an autonomous car crash, potential liable parties would be the car manufacturer, the self-driving system developer and operator, the parts manufacturer, the safety driver, the pedestrian, etc. Liabilities should be allocated reasonably among them. It should be noted that, the UberUber crash could also be partly attributed to Arizona’s lax approach to regulating autonomous vehicles, which gives all regulatory authorities a lesson of finding a balance between technology development and safety.

Suggested Citation

  • Shanshan He, 2021. "Who is Liable for the UBER Self-Driving Crash? Analysis of the Liability Allocation and the Regulatory Model for Autonomous Vehicles," Perspectives in Law, Business and Innovation, in: Steven Van Uytsel & Danilo Vasconcellos Vargas (ed.), Autonomous Vehicles, edition 1, pages 93-111, Springer.
    • Handle: RePEc:spr:perchp:978-981-15-9255-3_5
    DOI: 10.1007/978-981-15-9255-3_5
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    Cited by:

    1. Zhai, Siming & Gao, Shan & Wang, Lin & Liu, Peng, 2023. "When both human and machine drivers make mistakes: Whom to blame?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 170(C).

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