@inproceedings{nokey,
title = {Navigating the Future of AI Integration: Competency Development, Ethical Considerations, and Workforce Adaptability in “Organizations 5.0”},
author = {Adrian Florea, Vlad Toncian, Radu Cretulescu, Alin David, Daniel Morariu, Razvan Toghe, Catalin Stan},
editor = {Camarinha-Matos, L.M., Ortiz, A., Boucher, X., Lucas Soares, A.},
url = {https://link.springer.com/chapter/10.1007/978-3-032-05681-8_7},
doi = {https://doi.org/10.1007/978-3-032-05681-8_7},
isbn = {978-3-032-05680-1},
year  = {2025},
date = {2025-10-20},
urldate = {2025-10-20},
journal = {Hybrid Human-AI Collaborative Networks. PRO-VE 2025. IFIP Advances in Information and Communication Technology. Springer, Cham.},
volume = {771},
pages = {105-123},
abstract = {There is a gap between the rapid advancement of AI technologies, particularly generative AI, and the ability of professionals in industry and academia to integrate these tools into their work. Previous studies show that while many individuals lack knowledge and motivation to use AI technologies, there is also a strong desire to learn and adapt. This paper examines the perception and adoption of generative AI within the workforce, particularly in the context of Industry 5.0, emphasizing its role in competency development, talent management, human-AI collaboration, and ethical considerations. The study focuses on the absorption of AI technologies, especially generative AI, within the employees of a private European automotive company and academia. It assesses the needs for upskilling in this area to reach increased productivity rates, considering the exponential growth of AI applications and their widespread availability, which impacted the automotive industry in the last years. The questionnaire was created with the EUSurvey tools and consists of 118 questions for analyzing respondents’ experiences, concerns, and ethical perspectives on generative AI. Findings indicate a significant need for targeted training in the industrial sector for the usage of generative AI, addressing ethical, cybersecurity, legal, and job security concerns. While academic staff is more aware of AI usage, a major gap exists between AI advancements and current educational curricula. This discrepancy suggests the need for initiatives like the CoDEMO 5.0 project to bridge the gap and ensure effective generative AI integration in both industry and academia.
},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
@inproceedings{10.1007/978-3-030-62412-5_23,
title = {OMiLAB: A Smart Innovation Environment for Digital Engineers},
author = {Dimitris Karagiannis and Robert Andrei Buchmann and Xavier Boucher and Sergio Cavalieri and Adrian Florea and Dimitris Kiritsis and Moonkun Lee},
editor = {Luis M. Camarinha-Matos and Hamideh Afsarmanesh and Angel Ortiz},
isbn = {978-3-030-62412-5},
year  = {2020},
date = {2020-01-01},
booktitle = {Boosting Collaborative Networks 4.0},
pages = {273–282},
publisher = {Springer International Publishing},
address = {Cham},
abstract = {This position paper introduces a Smart Innovation Environment for experimentation related to digital transformation projects, for the consolidation of a proposed ``Digital Engineer'' skill profile (with a business-oriented facet labelled as ``Digital Innovator''). In the Internet of Things era, this profile implies the ability to perform both digital design and engineering activities, to semantically bridge multiple layers of abstraction and specificity – from business analysis down to cyber-physical engineering. In the paper's proposal, this integration is enabled by conceptual modelling methods and interoperable modelling tools, tailored to support the creation of Digital Twins for innovative digital business models. The architecture of the proposed environment is guided by a Design Research perspective – i.e., it is a treatment to an education ``design problem'' regarding the Digital Engineer skill profile in the IoT era. The proposed environment encompasses workspaces and toolkits are currently evaluated in ``innovation corners'' deployed across the OMiLAB ecosystem.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}