AI Lifecycle Zero-Touch Orchestration within the Edge-to-Cloud Continuum for Industry 5.0

Enrico Alberti,Sergio Alvarez-Napagao, Victor Anaya,Marta Barroso,Cristian Barrue,Christian Beecks,Letizia Bergamasco, Sisay Adugna Chala,Victor Gimenez-Abalos, Alexander Grass, Daniel Hinjos, Maike Holtkemper, Natalia Jakubiak, Alexandros Nizamis, Edoardo Pristeri,Miquel Sanchez-Marre,Georg Schlake, Jona Scholz,Gabriele Scivoletto,Stefan Walter

SYSTEMS(2024)

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摘要
The advancements in human-centered artificial intelligence (HCAI) systems for Industry 5.0 is a new phase of industrialization that places the worker at the center of the production process and uses new technologies to increase prosperity beyond jobs and growth. HCAI presents new objectives that were unreachable by either humans or machines alone, but this also comes with a new set of challenges. Our proposed method accomplishes this through the knowlEdge architecture, which enables human operators to implement AI solutions using a zero-touch framework. It relies on containerized AI model training and execution, supported by a robust data pipeline and rounded off with human feedback and evaluation interfaces. The result is a platform built from a number of components, spanning all major areas of the AI lifecycle. We outline both the architectural concepts and implementation guidelines and explain how they advance HCAI systems and Industry 5.0. In this article, we address the problems we encountered while implementing the ideas within the edge-to-cloud continuum. Further improvements to our approach may enhance the use of AI in Industry 5.0 and strengthen trust in AI systems.
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关键词
Industry 4.0,human-centered AI,manufacturing,model orchestration,digital twin
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