Human-Centric Artificial Intelligence Architecture for Industry 5.0
Applications
- URL: http://arxiv.org/abs/2203.10794v1
- Date: Mon, 21 Mar 2022 08:16:46 GMT
- Title: Human-Centric Artificial Intelligence Architecture for Industry 5.0
Applications
- Authors: Jo\v{z}e M. Ro\v{z}anec, Inna Novalija, Patrik Zajec, Klemen Kenda,
Hooman Tavakoli, 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, Bla\v{z} Fortuna, Dunja Mladeni\'c, John
Soldatos
- Abstract summary: We propose an architecture that integrates Artificial Intelligence (Active Learning, Forecasting, Explainable Artificial Intelligence), simulated reality, decision-making, and users' feedback.
We validate it on two use cases from real-world case studies.
- Score: 3.7890670411918252
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- 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, focusing 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 two
use cases from real-world case studies.
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