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Trustworthy autonomous systems: challenges and enablers

    Research output: Contribution to conferencePresentationpeer-review

    Abstract

    With Artificial Intelligence (AI) technologies becoming ubiquitous in people’s daily life, trustworthiness in these intelligent and autonomous systems is crucial. For this purpose, this tutorial will outline the major challenges of trustworthy autonomous systems, while it will highlight the enablers to develop and deploy such systems. In particular, the tutorial will cover methods and guidelines for designing, developing, testing and verifying autonomous systems. Furthermore, this tutorial will present IEEE and ISO/IEC/IEEE standards for the design and development of autonomous systems so they meet not only technical but also societal expectations – leading thus to the trustworthiness in autonomous systems.
    Original languageEnglish
    Publication statusPublished - 22 Oct 2025
    Event2nd International Conference on Explainable AI for Neural and Symbolic Methods - Marbella, Spain
    Duration: 22 Oct 202524 Oct 2025
    https://explains.scitevents.org/?y=2025

    Conference

    Conference2nd International Conference on Explainable AI for Neural and Symbolic Methods
    Abbreviated titleEXPLAINS 2025
    Country/TerritorySpain
    CityMarbella
    Period22/10/2524/10/25
    Internet address

    Keywords

    • trustworthy autonomous systems (TAS)
    • explainable artificial intelligence (XAI)
    • software and system reliability
    • artificial intelligence testing
    • verification of autonomous systems (VAS)
    • artificial intelligence (AI) and robotics standards
    • ontologies supporting ethical AI
    • autonomous systems
    • intelligent systems
    • knowledge-based systems
    • decision-support systems
    • human-AI collaboration
    • human-robot interaction
    • robotic systems
    • intelligent vision systems

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