As autonomous systems and artificial intelligence (AI) components are developed, confusion often abounds about what these components are and do during operations. Often this is a result of semantics, e.g., AI can colloquially refer to complex machine intelligence or relatively constrained machine learning (ML) algorithms, and valuable energy is wasted with respect to trying to communicate what any given system actually does and how it differs from other systems. This work aims to leverage considerable knowledge from the field of technical graphics to create a lexicon of simple graphic images that can effectively communicate types of AI components and how they permit AI agents to act autonomously. Our purpose is to facilitate communication among diverse stake holders with respect to AI capabilities and its functional components. An example is given using different iRobot Roomba robotic vacuum cleaner models which have different AI-enabled capabilities.


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    Titel :

    Symbols to represent AI systems


    Beteiligte:


    Erscheinungsdatum :

    16.08.2021


    Format / Umfang :

    1382606 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch