Framework for Developing Trustworthy Industrial AI Applications
Procedia CIRP, vol. 138, pp. 72–77
Abstract
Artificial intelligence (AI) offers great potential to increase productivity in production engineering. Nevertheless, manufacturing companies fail to successfully establish industrial AI applications on the shopfloor. Reasons are the great complexity and intransparency of AI as well as high performance and reliability requirements of production systems. To overcome these challenges and to comply with increasing regulatory requirements (e.g., the EU AI Act), we propose a framework for guiding the development of trustworthy industrial AI applications. Based on the core requirements of the production engineering domain, we propose a risk-based approach and define four qualification dimensions: safety, robustness, transparency and adaptivity.
Authors 6
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Fraunhofer Institute for Production Technology IPT
Affiliation as printed
Fraunhofer Institute for Production Technology IPT, Steinbachstraße 17, 52074 Aachen, Germany
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Fraunhofer Institute for Production Technology IPT
Affiliation as printed
Fraunhofer Institute for Production Technology IPT, Steinbachstraße 17, 52074 Aachen, Germany
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Fraunhofer Institute for Production Technology IPT
Affiliation as printed
Fraunhofer Institute for Production Technology IPT, Steinbachstraße 17, 52074 Aachen, Germany
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Fraunhofer Institute for Production Technology IPT
Affiliation as printed
Fraunhofer Institute for Production Technology IPT, Steinbachstraße 17, 52074 Aachen, Germany
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Fraunhofer Institute for Production Technology IPT
Affiliation as printed
Fraunhofer Institute for Production Technology IPT, Steinbachstraße 17, 52074 Aachen, Germany
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Robert Heinrich Schmitt Aachen Fraunhofer Institute for Production Technology IPT Laboratory for Machine Tools and Production Engineering (WZL)
Fraunhofer Institute for Production Technology IPT · RWTH Aachen University
Affiliation as printed
Fraunhofer Institute for Production Technology IPT, Steinbachstraße 17, 52074 Aachen, Germany
Laboratory for Machine Tools and Production Engineering (WZL) of RWTH Aachen University, Campus Boulevard 30, 52074 Aachen, Germany
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