Trusted Artificial Intelligence in Manufacturing

Trusted Artificial Intelligence in Manufacturing

Artificial intelligence

The successful deployment of AI solutions in manufacturing environments hinges on their security, safety and reliability which becomes more challenging in settings where multiple AI systems (e.g., industrial robots, robotic cells, Deep Neural Networks (DNNs)) interact as atomic systems and with humans. To guarantee the safe and reliable operation of AI systems in the shopfloor, there is a need to address many challenges in the scope of complex, heterogeneous, dynamic and unpredictable environments. Specifically, data reliability, human machine interaction, security, transparency and explainability challenges need to be addressed at the same time. Recent advances in AI research (e.g., in deep neural networks security and explainable AI (XAI) systems), coupled with novel research outcomes in the formal specification and verification of AI systems provide a sound basis for safe and reliable AI deployments in production lines.

Soldatos, John (editor)
Kyriazis, Dimosthenis (editor)

https://directory.doabooks.org/handle/20.500.12854/78056

Now Publishers

2021

Wahyuni

https://creativecommons.org/licenses/by-nc/4.0/

Pdf

English

Textbooks

DOI
10.1561/9781680838770

ISBN
9781680838770, 9781680838763