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Legal implications of vision-language foundation models (VLFM) in industrial applications in Europe: an inquiry into data protection, copyright, and AI regulation
Citation Link: https://doi.org/10.15480/882.15405
Publikationstyp
Conference Paper
Date Issued
2025
Sprache
English
TORE-DOI
Journal
Volume
134
Start Page
999
End Page
1004
Citation
58th CIRP Conference on Manufacturing Systems, CMS 2025
Contribution to Conference
Publisher DOI
Scopus ID
Publisher
Elsevier
The rise of Foundation Models (FM) starts to revolutionize different aspects of machine vision in industrial applications. Increased generalizability, robustness, reliability, and the capacity for few-shot learning make vision systems adaptable and flexible to an unprecedented degree. Yet, the development and deployment of fine-tuned models in the industrial domain face unique legal challenges in Europe that arise from stringent regulations, including Copyright Law, the General Data Protection Regulation (GDPR), and the recently enacted AI Act. In this work, we investigate the legal implications of pre-training (1), fine-tuning (2), and utilizing VFMs (3) in industrial contexts in Europe, with a specific focus on manufacturing. With this contribution, we aim to raise awareness on how various regulations will impact the use of VLFMs in industrial settings.
Subjects
AI Act | Europe | Foundation Models | Legal Implications | Manufacturing
DDC Class
006.3: Artificial Intelligence
Publication version
publishedVersion
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1-s2.0-S2212827125006183-main.pdf
Size
483 KB
Format
Adobe PDF