Human-centric artificial intelligence architecture for industry 5.0 applications
Jože M. Rožanec,
Inna Novalija,
Patrik Zajec,
Klemen Kenda,
Hooman Tavakoli Ghinani,
Sungho Suh,
Entso Veliou,
Dimitrios Papamartzivanos,
Thanassis Giannetsos,
Sofia Anna Menesidou,
Ruben Alonso,
Nino Cauli,
Antonello Meloni,
Diego Reforgiato Recupero,
Dimosthenis Kyriazis,
Georgios Sofianidis,
Spyros Theodoropoulos,
Blaž Fortuna,
Dunja Mladenić and
John Soldatos
International Journal of Production Research, 2023, vol. 61, issue 20, 6847-6872
Abstract:
Human-centricity is the core value behind the evolution of manufacturing towards Industry 5.0. Nevertheless, there is a lack of architecture that considers safety, trustworthiness, and human-centricity at its core. Therefore, we propose an architecture that integrates Artificial Intelligence (Active Learning, Forecasting, Explainable Artificial Intelligence), simulated reality, decision-making, and users' feedback, focussing on synergies between humans and machines. Furthermore, we align the proposed architecture with the Big Data Value Association Reference Architecture Model. Finally, we validate it on three use cases from real-world case studies.
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:taf:tprsxx:v:61:y:2023:i:20:p:6847-6872
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DOI: 10.1080/00207543.2022.2138611
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