Trusted artificial intelligence in manufacturing: a review of the emerging wave of ethical and human centric AI technologies for smart production
Soldatos, John ; Kyriazis, Dimosthenis
now publishers - Boston
2021
217 p.
technology ; artificial intelligence ; manufacturing industry ; ethics ; future of work
Technology
https://www.doi.org/10.1561/9781680838770
English
Bibliogr.;Charts;Index
"This book is co-authored by the STAR consortium members and provides a review of technologies, techniques and systems for trusted, ethical, and secure AI in manufacturing. The different chapters of the book cover systems and technologies for industrial data reliability, responsible and transparent artificial intelligence systems, human centered manufacturing systems such as human-centred digital twins, cyber-defence in AI systems, simulated reality systems, human robot collaboration systems, as well as automated mobile robots for manufacturing environments. A variety of cutting-edge AI technologies are employed by these systems including deep neural networks, reinforcement learning systems, and explainable artificial intelligence systems. Furthermore, relevant standards and applicable regulations are discussed. Beyond reviewing state of the art standards and technologies, the book illustrates how the STAR research goes beyond the state of the art, towards enabling and showcasing human-centred technologies in production lines. Emphasis is put on dynamic human in the loop scenarios, where ethical, transparent, and trusted AI systems co-exist with human workers. The book is made available as an open access publication, which could make it broadly and freely available to the AI and smart manufacturing communities."
The work is governed by the Creative Commons
“Attribution-Non Commercial” License (CC BY-NC), according to https://creativecommons.or
g/licenses/by-nc/4.0
Digital
ISBN (PDF) : 978-1-68083-877-0
"Table of Contents
Frontmatter
John Soldatos | Dimosthenis Kyriazis
Pages i-xxiii
1. Blockchain Based Data Provenance for Trusted Artificial Intelligence
John Soldatos | Angela-Maria Despotopoulou | Nikos Kefalakis | Babis Ipektsidis
Pages 1-29
2. Artificial Intelligence and Secure Manufacturing: Filling Gaps in Making Industrial Environments Safer
Entso Veliou | Dimitrios Papamartzivanos | Sofia Anna Menesidou | Panagiotis Gouvas | Thanassis Giannetsos
Pages 30-51
3. Knowledge Modelling and Active Learning in Manufacturing
Jože M. Rožanec | Inna Novalija | Patrik Zajec | Klemen Kenda | Dunja Mladenić
Pages 52-72
4. Multimodal Human Machine Interactions in Industrial Environments
Rubén Alonso | Nino Cauli | Diego Reforgiato Recupero
Pages 73-92
5. A Review of Explainable Artificial Intelligence in Manufacturing
Georgios Soanidis | Jože M. Rožanec | Dunja Mladenić | Dimosthenis Kyriazis
Pages 93-113
6. Confidence Assessment of AI Models in Simulated Industrial Environments
Spyros Theodoropoulos | Dimitrios Dardanis | Georgios Soanidis | Jože M. Rožanec | Panagiotis Tsanakas | Dimosthenis Kyriazis
Pages 114-131
7. The Human-Digital Twin in the Manufacturing Industry: Current Perspectives and a Glimpse of Future
Elias Montini | Niko Bonomi | Fabio Daniele | Andrea Bettoni | Paolo Pedrazzoli | Emanuele Carpanzano | Paolo Rocco
Pages 132-147
8. Video Analytics For Situation Awareness Safe Robot-Human Cohabitation in Production Lines
Jean-Emmanue Haugeard | Andreina Chietera
Pages 148-157
9. Human in the Loop of AI Systems in Manufacturing
Christos Emmanouilidis | Sabine Waschull
Pages 158-172
10. A Review of Industrial Standards for AI in manufacturing
Eva Coscia | Rubén Alonso | John Soldatos
Pages 173-190
11. AI that Works: The Symbiosis of Functionals and Non-Functionals as Main Success Factor
Arthur van der Wees | Anna Ida Hudig | Celine Prins
Pages 191-210
Index
Pages 211-212
About the Editors
Pages 213-214
Contributing Authors
Pages 215-217"
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