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Towards Autonomous Vehicles in Smart Cities: Risks and Risk Governance

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Towards Connected and Autonomous Vehicle Highways

Part of the book series: EAI/Springer Innovations in Communication and Computing ((EAISICC))

Abstract

Autonomous vehicles (AVs) are increasingly proposed as a solution towards addressing urbanisation challenges in smart city initiatives, such as congestion, pollution, road safety and transport accessibility. However, their socio-economic and environmental benefits can be hampered by new technological risks emerging from their use. This chapter explores some of the major risks associated with AV adoption that need to be addressed to reap the technology’s full benefits. AVs can introduce safety risks arising from technical issues in the AV system and ethical issues in their design and deployment. In addition, socio-economic equity is a key aspect of sustainability, which can be undermined by AVs displacing jobs in existing industries, as well as by their discriminatory driving decisions shaped by algorithmic biases and the value-laden design choices of AV stakeholders. AVs’ connected nature also poses privacy and cybersecurity risks that can dampen consumer acceptance. After exploring these issues, we discuss some of the governance strategies adopted to address these risks and highlight the gaps in research and practice that need to be addressed.

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Notes

  1. 1.

    Incentives can also motivate manufacturers and programmers to design AVs that prioritise the safety of some road users over others and, consequently, perpetuate discrimination.

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Acknowledgement

Araz Taeihagh is grateful for the support provided by the Lee Kuan Yew School of Public Policy, National University of Singapore through the Start-up Research Grant.

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  1. Lee Kuan Yew School of Public Policy, National University of Singapore, Singapore, Singapore

    Araz Taeihagh & Hazel Si Min Lim

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  1. Araz Taeihagh
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Correspondence to Araz Taeihagh .

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  1. Team Lead (Autonomous Vehicle Planning & Control Algorithm Development), Sensible 4 Oy,, Espoo, Finland

    Umar Zakir Abdul Hamid

  2. Department of Artificial Intelligence Engineering, Research Center for AI and IoT Near East University, Mersin 10, Turkey

    Fadi Al-Turjman

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Taeihagh, A., Lim, H.S.M. (2021). Towards Autonomous Vehicles in Smart Cities: Risks and Risk Governance. In: Hamid, U.Z.A., Al-Turjman, F. (eds) Towards Connected and Autonomous Vehicle Highways. EAI/Springer Innovations in Communication and Computing. Springer, Cham. https://doi.org/10.1007/978-3-030-66042-0_7

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