The emerging interest in Industry 5.0 is consistent with the growing importance of instilling human-centricity in manufacturing technological innovations. Human-centricity concerns the creation of a human-technology symbiosis that enables the capitalization of respective human and technical capabilities for optimal system performance. While Industry 5.0 advocates the need to consider human aspects already at the design of technical systems, there is currently a lack of insights regarding the relevant performance criteria to consider when evaluating human-centric manufacturing. This paper presents an evaluation methodology for artificial intelligence (AI)-enabled manufacturing in the transition towards Industry 5.0. It adopts a multi-viewpoint assessment via an appropriate set of social, technical and operational factors to be considered when designing or implementing human-centric AI. The methodology can guide designers and decision-makers to evaluate the embedding of AI into industrial work systems, providing clarity on relevant criteria to consider when moving towards human-centricity in AI-enabled manufacturing.


    Zugriff

    Download


    Exportieren, teilen und zitieren



    Titel :

    Assessing human-centricity in AI enabled manufacturing systems a socio-technical evaluation methodology


    Beteiligte:

    Erscheinungsdatum :

    2023-01-01


    Anmerkungen:

    Waschull , S & Emmanouilidis , C 2023 , Assessing human-centricity in AI enabled manufacturing systems a socio-technical evaluation methodology . in Proceedings of the 2023 IFAC World Congress . IFAC-PapersOnLine , no. 2 , vol. 56 , IFAC-PapersOnLine , pp. 1791-1796 , 22nd International Federation of Automatic Control World Congress (IFAC WC 2023) , Yokohama , Japan , 09/07/2023 . https://doi.org/10.1016/j.ifacol.2023.10.1891



    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Klassifikation :

    DDC:    629



    Author and article centricity

    Chen, Xiao-Ping | Online Contents | 2012



    Radar Open System Architecture provides net centricity

    Nelson, John A. | DSpace@MIT | 2010

    Freier Zugriff


    Net-Centricity as an Enabling Technology for Intelligent Systems Research

    Rodvold, D. / Abernathy, B. / Dougherty, G. et al. | British Library Conference Proceedings | 2009