CORE Group contributes to new publication
Author: Dimitris Eleftheriou
6th March 2024
The latest open access book by Springer, titled “Artificial Intelligence in Manufacturing”, includes our work as part of the Teaming.AI consortium.
The Teaming.AI project
Teaming.AI is an Horizon 2020 project which aims to drive industry-wide change in smart manufacturing, through the introduction of higher customisation and personalisation of products and services in AI technologies. The main instrument is the development of an AI-driven Decision Support System, where decisions can be either taken by a human stakeholder or automatically by an AI service.
“Artificial Intelligence in Manufacturing”
The research findings of the project have led to a contribution in an academic book published recently by Springer, titled “Artificial Intelligence in Manufacturing”, edited by John Soldatos, which gathers findings across different EU research projects to provide comprehensive coverage of AI technologies and their various use cases in manufacturing, encompassing both Industry 4.0 and Industry 5.0 solutions.
This book, a part of the AI4MANUFACTURING cluster, features 27 chapters from the XMANAI, STAR, Teaming.AI, AI-PROFICIENT, Knowledge, MAS4AI, COALA, and KITT4SME EU projects. It presents a diverse range of innovative solutions for artificial intelligence (AI) in manufacturing. Our work for Teaming.AI is presented in Chapters 4, 5 and 23 of the book.
CORE Group’s contribution to the publication
CORE Group has contributed to Chapter 23, where we discuss insights and recommendations identified through the project, which can be used to design effective human-AI collaboration systems that enhance productivity, innovation, and social welfare.
Our main contribution lies in identifying existing issues when implementing human-AI collaboration systems in an industry setting. Through this demand-driven approach, our team was able to identify areas where further technological development was needed to ensure successful implementation of Industry 4.0 initiatives.
This process enabled the TEAMING.AI consortium to drive tech development with a market-first mindset. Our key findings show that end-users have a preference for easy-to-integrate, pilot-validated solutions with short-term value potential.
This publication is an important milestone for the project and the CORE Group team, which continues to produce cutting-edge research in the area of AI in manufacturing.
