IDEAS home Printed from https://ideas.repec.org/h/elg/eechap/21868_20.html
   My bibliography  Save this book chapter

Autonomous driving: present and emerging trends of technology, ethics, and law

In: Handbook on Artificial Intelligence and Transport

Author

Listed:
  • Gustav Lindberg
  • Ikeya Carrero
  • Fermín Mallor
  • Julián Estévez
  • Manuela Battaglini
  • Ricardo Vinuesa

Abstract

Autonomous vehicles (AVs) have developed quickly in the past few years and are poised to define the future of mobility. This can be attributed to tailwinds such as the increase in computational power, advances in the artificial intelligence (AI) field, and a favorable regulatory environment created by the impending climate crisis. From a sustainability point of view, AVs can be a major enabling technology for various Sustainable Development Goals (SDGs). Nonetheless, their system complexity and increased dependence on intractable AI algorithms should be addressed and studied, as they could inhibit some of the SDGs. In this work, a comprehensive description of the different sensors and AI algorithms used in AVs is given, as well as their governance and ethical implications. The development of complex deep learning (DL) algorithms is seen as a key factor in the development of more complex AVs, and in the use of camera-based AVs over LIDAR/radar based platforms. When it comes to decision-making, reinforcement learning (RL) is the key machine learning subclass allowing for an increase in the complexity of the actions being automated. Nonetheless, both DL and RL require vast amounts of training data, which should be heterogeneous and exhaustive enough to allow for the safe deployment of the AV into the real world. This poses clear issues related to privacy and data governance, which should be addressed both by institutions and AV manufacturers. Lastly, the increased complexity of AVs raises ethical and accountability issues, and the lack of international safety standards, such as those existing for normal vehicles, is seen as a major issue to be tackled.

Suggested Citation

  • Gustav Lindberg & Ikeya Carrero & Fermín Mallor & Julián Estévez & Manuela Battaglini & Ricardo Vinuesa, 2023. "Autonomous driving: present and emerging trends of technology, ethics, and law," Chapters, in: Hussein Dia (ed.), Handbook on Artificial Intelligence and Transport, chapter 20, pages 596-616, Edward Elgar Publishing.
  • Handle: RePEc:elg:eechap:21868_20
    as

    Download full text from publisher

    File URL: https://www.elgaronline.com/doi/10.4337/9781803929545.00033
    Download Restriction: no
    ---><---

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:elg:eechap:21868_20. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Darrel McCalla (email available below). General contact details of provider: http://www.e-elgar.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.