Скачать или смотреть AI for manufacturing: opportunities and challenges

ICT-38-2020 Research and Innovation Actions have just started their activities in order to fully exploit AI technologies adoption in the smart manufacturing industry. Leveraging on existing AI techniques, projects aim to develop innovative solutions to be applied in manufacturing realistic industrial cases, respecting ethical and legal principles and fostering the AI-Human collaboration. Opportunities and challenges for AI adoption in manufacturing have to be carefully analysed, in order to maximise the digital transformation potential and the socio-business benefits.

The objective of the session is to elaborate on business opportunities and R&I challenges for the full take up of AI technologies in Manufacturing. Four relevant aspects are analysed in detail: explainable AI (XMANAI), trustworthy and secure AI (STAR), Human-AI interaction (TEAMING.AI) and AI-based digital assistants and training systems (COALA).

During this session, the discussion will concentrate on the two topics represented by Explainable AI (STAR and XMANAI) and Human-AI Interaction (COALA and TEAMING.AI) while the other topics (AI Security and Trustworthy AI) will be debated later inside the SMI group of BDVA/DAIRO thanks to the involvement of additional ICT-38 projects.

Each project will have to describe their approach to the selected topic, identify opportunities and challenges and present possible industrial cases to experiment and validate the AI Technologies. Each topic will be complemented by a discussion panel.


AGENDA:

The session is introduced and moderated by the BDVA/DAIRO SMI co-chairs.

Session Introduction
Part 1: Explainable AI
Introduction
Fenareti Lampathaki (SUITE5) “XMANAI: How explainability is addressed in AI for Manufacturing” (15 min)
Joannis Soldatos (INTRASOFT) "The role of Explainability in Trusted AI for Manufacturing: the STAR approach" (15 min)
Panel discussion (10 min)
Part 2: Human-AI Interaction
Introduction
Gregoris Mentzas (NTUA ICCS) “Human-AI Collaboration with Augmented Analytics and Digital Intelligent Assistants: The COALA approach” (15 min)
Mario Pichler (SCCH) "TEAMING.AI - Novel Human-AI Teaming in Manufacturing" (15 min)
Panel discussion (10 min)
Conclusions
_____________________________________________

The event is co-organised by BDVA/DAIRO, and the EUHubs4Data project, in collaboration with key members of the Portuguese R&I ecosystem (DECSIS, valuedate.io and Ubiwhere).

Follow BDVA/DAIRO:

🌐 https://www.bdva.eu/
🐦   / bdva_ppp  
🧳   / big-data-value-association  
📬 https://core.bdva.eu/node/31
✉️ info[at]core.bdva.eu

Follow EUHubs4Data:

🌐 https://euhubs4data.eu/
🐦   / euhubs4  
🧳.   / euhubs4data-european-federation-of-data-dr...  
✉️ https://euhubs4data.eu/contact/