[go: up one dir, main page]
IDEAS home Printed from https://ideas.repec.org/a/igg/jt0000/v13y2022i1p1-20.html
   My bibliography  Save this article

Operationalizing the Ethics of Connected and Automated Vehicles: An Engineering Perspective

Author

Listed:
  • Fabio Fossa

    (Politecnico di Milano, Italy)

  • Stefano Arrigoni

    (Politecnico di Milano, Italy)

  • Giandomenico Caruso

    (Politecnico di Milano, Italy)

  • Hafeez Husain Cholakkal

    (Politecnico di Milano, Italy)

  • Pragyan Dahal

    (Politecnico di Milano, Italy)

  • Matteo Matteucci

    (Politecnico di Milano, Italy)

  • Federico Cheli

    (Politecnico di Milano, Italy)

Abstract
In response to the many social impacts of automated mobility, in September 2020 the European Commission published Ethics of Connected and Automated Vehicles, a report in which recommendations on road safety, privacy, fairness, explainability, and responsibility are drawn from a set of eight overarching principles. This paper presents the results of an interdisciplinary research where philosophers and engineers joined efforts to operationalize the guidelines advanced in the report. To this aim, we endorse a function-based working approach to support the implementation of values and recommendations into the design of automated vehicle technologies. Based on this, we develop methodological tools to tackle issues related to personal autonomy, explainability, and privacy as domains that most urgently require fine-grained guidance due to the associated ethical risks. Even though each tool still requires further inquiry, we believe that our work might already prove the productivity of the function-based approach and foster its adoption in the CAV scientific community.

Suggested Citation

  • Fabio Fossa & Stefano Arrigoni & Giandomenico Caruso & Hafeez Husain Cholakkal & Pragyan Dahal & Matteo Matteucci & Federico Cheli, 2022. "Operationalizing the Ethics of Connected and Automated Vehicles: An Engineering Perspective," International Journal of Technoethics (IJT), IGI Global, vol. 13(1), pages 1-20, January.
    • Handle: RePEc:igg:jt0000:v:13:y:2022:i:1:p:1-20
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJT.291553
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Oana Luca & Liliana Andrei & Cristina Iacoboaea & Florian Gaman, 2023. "Unveiling the Hidden Effects of Automated Vehicles on “Do No Significant Harm” Components," Sustainability, MDPI, vol. 15(14), pages 1-26, July.

    More about this item

    Statistics

    Access and download statistics

    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:igg:jt0000:v:13:y:2022:i:1:p:1-20. 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: Journal Editor (email available below). General contact details of provider: https://www.igi-global.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.