Explainable Manufacturing Artificial Intelligence
Despite the indisputable benefits of AI, humans typically have little visibility and knowledge on how AI systems make any decisions or predictions due to the so-called 'black-box effect' in which many of the machine learning/deep learning algorithms are not able to be examined after their execution to understand specifically how and why a decision has been made. The inner workings of machine learning and deep learning are not exactly transparent, and as algorithms become more complicated, fears of undetected bias, mistakes, and miscomprehensions creeping into decision making, naturally grow among manufacturers and practically any stakeholder
In this context, Explainable AI (XAI) is today an emerging field that aims to address how black box decisions of AI systems are made, inspecting and attempting to understand the steps and models involved in decision making to increase human trust.
XMANAI aims at placing the indisputable power of Explainable AI at the service of manufacturing and human progress, carving out a 'human-centric', trustful approach that is respectful of European values and principles, and adopting the mentality that 'our AI is only as good as we are'.
XMANAI, demonstrated in 4 real-life manufacturing cases, will help the manufacturing value chain to shift towards the amplifying AI era by coupling (hybrid and graph) AI 'glass box' models that are explainable to a 'human-in-the-loop' and produce value-based explanations, with complex AI assets (data and models) management-sharing-security technologies to multiply the latent data value in a trusted manner, and targeted manufacturing apps to solve concrete manufacturing problems with high impact.'
Web resources: |
https://cordis.europa.eu/project/id/957362
https://ai4manufacturing.eu/ |
Start date: | 01-11-2020 |
End date: | 30-04-2024 |
Total budget - Public funding: | 5 998 902,00 Euro - 5 998 902,00 Euro |
Call topic: | Artificial intelligence for manufacturing (ICT-38-2020) |
Twitter: | @xmanai_project |
Original description
"Despite the indisputable benefits of AI, humans typically have little visibility and knowledge on how AI systems make any decisions or predictions due to the so-called “black-box effect” in which many of the machine learning/deep learning algorithms are not able to be examined after their execution to understand specifically how and why a decision has been made. The inner workings of machine learning and deep learning are not exactly transparent, and as algorithms become more complicated, fears of undetected bias, mistakes, and miscomprehensions creeping into decision making, naturally grow among manufacturers and practically any stakeholderIn this context, Explainable AI (XAI) is today an emerging field that aims to address how black box decisions of AI systems are made, inspecting and attempting to understand the steps and models involved in decision making to increase human trust.
XMANAI aims at placing the indisputable power of Explainable AI at the service of manufacturing and human progress, carving out a “human-centric”, trustful approach that is respectful of European values and principles, and adopting the mentality that “our AI is only as good as we are”. XMANAI, demonstrated in 4 real-life manufacturing cases, will help the manufacturing value chain to shift towards the amplifying AI era by coupling (hybrid and graph) AI ""glass box"" models that are explainable to a ""human-in-the-loop"" and produce value-based explanations, with complex AI assets (data and models) management-sharing-security technologies to multiply the latent data value in a trusted manner, and targeted manufacturing apps to solve concrete manufacturing problems with high impact."
Status
SIGNEDCall topic
ICT-38-2020Update Date
26-06-2022Relevant items: View structured details below
Relevant items: View structured details below

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| TXT E-Solutions SPA (Coördinator)
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| AIDEAS OU (AiDEAS)
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| ASOCIACION DE EMPRESAS TECNOLOGICAS INNOVALIA
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| ATHINA-EREVNITIKO KENTRO KAINOTOMIAS STIS TECHNOLOGIES TIS PLIROFORIAS, TON EPIKOINONION KAI TIS GNO...
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| CNH INDUSTRIAL ITALIA SPA (CNH)
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| DEEP BLUE SRL (DEEP BLUE)
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| FORD ESPANA SL (FORD)
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| FRAUNHOFER GESELLSCHAFT
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| GIOUMPITEK MELETI SCHEDIASMOS YLOPOIISI KAI POLISI ERGON PLIROFORIKIS ETAIREIA PERIORISMENIS EFTHYNI...
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| KNOWLEDGEBIZ CONSULTING-SOCIEDADE DE CONSULTORIA EM GESTAO LDA
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| Politecnico di Milano
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| SUITE5 DATA INTELLIGENCE SOLUTIONS LIMITED
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| TYRIS AI SL
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| TYRIS SOFTWARE SL (TYRIS)
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| UNIMETRIK SA