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Homologation of Autonomous Machines from a Legal Perspective

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14220%2F19%3A00111315" target="_blank" >RIV/00216224:14220/19:00111315 - isvavai.cz</a>

  • Result on the web

    <a href="http://ceur-ws.org/Vol-2381/" target="_blank" >http://ceur-ws.org/Vol-2381/</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Homologation of Autonomous Machines from a Legal Perspective

  • Original language description

    This article focuses on the question in which way artificial intelligence challenges creation of technical standards and the process of product homologation. The article aims to describe what are technical standards, how are they adopted and if they are able to keep up with the technological development that is represented by autonomous machines, specifically by autonomous vehicles. The goal of this article is to a) explain, why technical standards are a necessity and cannot be supplemented by legislation, b) provide an insight on selected issues of the development of applicable technical standards in the EU and c) identify the key legal as well as technical barriers towards adoption of new technical standards for this technology.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database

  • CEP classification

  • OECD FORD branch

    50501 - Law

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2019

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    CEUR Workshop Proceedings: Proceedings of the EXplainable AI in Law Workshop co-located with the 31st International Conference on Legal Knowledge and Information Systems (JURIX 2018)

  • ISSN

    1613-0073

  • e-ISSN

  • Volume of the periodical

    2381

  • Issue of the periodical within the volume

    2019

  • Country of publishing house

    NL - THE KINGDOM OF THE NETHERLANDS

  • Number of pages

    4

  • Pages from-to

    51-54

  • UT code for WoS article

  • EID of the result in the Scopus database

    2-s2.0-85067830444