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Co-designing human centric pathways for future skills in manufacturing through augmented, empowered, inclusive, and symbiotic complementarities between AI, automation and human task

Project description

Balancing AI and human skills in manufacturing

The manufacturing sector is undergoing a transformation driven by green and digital technologies. While this shift promises increased efficiency and resilience, it also raises concerns about job displacement due to the growing role of AI and machine learning. These technologies could exacerbate social inequalities, particularly for vulnerable groups, while labour shortages threaten innovation and competitiveness. As the nature of jobs changes, there is an urgent need to balance human and machine collaboration. In this context, the EU-funded SKillAIbility project will promote upskilling and reskilling, ensuring workers remain relevant in the Industry 5.0 framework. It aims to foster a human-centric approach that bridges skills gaps, increases employability, and supports a resilient, inclusive digital transition in manufacturing.

Objective

The modern manufacturing landscape is undergoing a transformative twin transition, integrating green and digital technologies to bolster value chain resilience and explore re-shoring options. Amidst this paradigm shift, concerns about job displacement by machines, particularly through the rise of Artificial Intelligence (AI) and Machine Learning (ML), have become more pronounced. This proposal delves into the challenges posed by the pursuit of excellence in the Industry 5.0 framework, focusing on the potential impact of digital technologies on job nature and the ensuing need for human-technology complementarity. The potential for AI to exacerbate social disparities and inequalities, especially for vulnerable groups, is also a significant concern. Additionally, the manufacturing sector faces labor shortages, impacting innovation capacity and economic competitiveness. The mission of SKillAIbility is to address these challenges, emphasizing the need for a human-centric approach to assess digital technologies and enhance workers' employability.
The proposal also outlines the short, medium, and long-term contributions of SKillAIbility towards a resilient, inclusive, digital transition in the manufacturing industry. This initiative provides tools and methodologies to understand and respond to the impacts of emerging digital technology advancements on human tasks, skills, training, and policymaking. SKillAIbility's holistic impact spans various societal, industrial, academic, and regulatory dimensions, affecting citizens, people with disabilities, workers, trade unions, industry players, research institutions, and governmental bodies. Through upskilling and reskilling initiatives, SKillAIbility aims to empower citizens and workers, mitigate the risk of task automatization, and increase employability within the advanced manufacturing sector. Furthermore, the proposal contributes to the manufacturing industry's growth by filling skills gaps, increasing performance and pro

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Programme(s)

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Topic(s)

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Funding Scheme

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HORIZON-RIA - HORIZON Research and Innovation Actions

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Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

(opens in new window) HORIZON-CL2-2024-TRANSFORMATIONS-01

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Coordinator

POLITECNICO DI MILANO
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 427 500,00
Address
PIAZZA LEONARDO DA VINCI 32
20133 Milano
Italy

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Region
Nord-Ovest Lombardia Milano
Activity type
Higher or Secondary Education Establishments
Links
Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

€ 427 500,00

Participants (11)

Partners (2)

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