Navigating the Future of AI Integration: Competency Development, Ethical Considerations, and Workforce Adaptability in “Organizations 5.0”

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.

Links

• 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

Cite as

BibTeX (Download)

@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}
}