AI for Autonomous Ships: Challenges in Design and Validation

    Research output: Contribution to conferenceConference AbstractScientific

    Abstract

    The development of several key elements in autonomous shipping, such as situational awareness systems and autonomous navigational decision-making, are likely to be based on various artificial intelligence (AI) technologies. The emergence of these new technologies will bring along new challenges for all stakeholders involved in their development and approval. Several key challenges in different development phases will be presented with selected new approaches proposed to support the development activities. Machine learning technologies, for example, impose challenges regarding data collection, transfer and processing. The design, training and validation, as well as transparency of such systems raise further questions. In validation, the lack of prescriptive standards further complicates the design and approval process. Additionally, when in operation, the AI technologies may introduce new kinds of risks and security vulnerabilities.
    Original languageEnglish
    Publication statusPublished - 21 Mar 2018
    MoE publication typeNot Eligible
    EventInternational Seminar on Safety and Security of Autonomous Vessels, ISSAV 2018 - TU Delft, Delft, Netherlands
    Duration: 21 Mar 201821 Mar 2018

    Seminar

    SeminarInternational Seminar on Safety and Security of Autonomous Vessels, ISSAV 2018
    Abbreviated titleISSAV 2018
    CountryNetherlands
    CityDelft
    Period21/03/1821/03/18

    Keywords

    • autonomous ship
    • artificial intelligence
    • validation

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  • Cite this

    Heikkilä, E. (2018). AI for Autonomous Ships: Challenges in Design and Validation. Abstract from International Seminar on Safety and Security of Autonomous Vessels, ISSAV 2018, Delft, Netherlands.