AI for Autonomous Ships: Challenges in Design and Validation

    Research output: Contribution to conferenceConference AbstractResearch

    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.

    Seminar

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

    Fingerprint

    Artificial intelligence
    Ships
    Freight transportation
    Transparency
    Learning systems
    Decision making
    Processing

    Keywords

    • autonomous ship
    • artificial intelligence
    • validation

    OKM Publication Types

    • V1 Non-published/full refereed conference article

    OKM Open Access Status

    • 0 Not Open Access

    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.
    Heikkilä, Eetu. / AI for Autonomous Ships : Challenges in Design and Validation. Abstract from International Seminar on Safety and Security of Autonomous Vessels, ISSAV 2018, Delft, Netherlands.
    @conference{e4738c832b4c4e26bc24649e54935a89,
    title = "AI for Autonomous Ships: Challenges in Design and Validation",
    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.",
    keywords = "autonomous ship, artificial intelligence, validation",
    author = "Eetu Heikkil{\"a}",
    year = "2018",
    month = "3",
    day = "21",
    language = "English",
    note = "International Seminar on Safety and Security of Autonomous Vessels, ISSAV 2018, ISSAV 2018 ; Conference date: 21-03-2018 Through 21-03-2018",

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    Heikkilä, E 2018, 'AI for Autonomous Ships: Challenges in Design and Validation' International Seminar on Safety and Security of Autonomous Vessels, ISSAV 2018, Delft, Netherlands, 21/03/18 - 21/03/18, .

    AI for Autonomous Ships : Challenges in Design and Validation. / Heikkilä, Eetu.

    2018. Abstract from International Seminar on Safety and Security of Autonomous Vessels, ISSAV 2018, Delft, Netherlands.

    Research output: Contribution to conferenceConference AbstractResearch

    TY - CONF

    T1 - AI for Autonomous Ships

    T2 - Challenges in Design and Validation

    AU - Heikkilä, Eetu

    PY - 2018/3/21

    Y1 - 2018/3/21

    N2 - 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.

    AB - 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.

    KW - autonomous ship

    KW - artificial intelligence

    KW - validation

    UR - https://d1rkab7tlqy5f1.cloudfront.net/Websections/Delft%20Safety%20and%20Security/ISSAV2018%20%28P7%29_Heikkila.pdf

    M3 - Conference Abstract

    ER -

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