The EU AI Act and Applied Practice: A Perspective on Conformity Assessment for In-House Models

Authors

  • Aikaterini Zafeiriou Centre for Technology Law, Laconia Centre for Machine Intelligence, Sparti, Greece Author
  • Urska Bevc-Pirc Centre for Technology Policy, Notranjska Institute of Applied Artificial Intelligence, Postojna, Slovenia Author
  • Roxane Peyrefitte Department of Model Risk Management, Bresse Institute of Applied Artificial Intelligence, Bourg-en-Bresse, France Author

DOI:

https://doi.org/10.5281/zenodo.22660768

Keywords:

The EU AI Act and Applied Practice; Applied machine learning; Evidence synthesis; Production deployment; MLOps

Abstract

The EU AI Act and Applied Practice is an area of active development in applied machine learning, with evidence that has
accumulated unevenly across its component questions. We review the current evidence base for the eu ai act and applied practice,
spanning methodological, implementation, governance, and cost dimensions, focusing on where practice has converged and
where it continues to vary, and set out the practical considerations relevant to a team considering its adoption. We conclude that
selective, context-specific use is best supported by the evidence currently available, rather than uniform adoption or avoidance

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Dumitrescu A, Andric D, et al. "The EU AI Act and Applied Practice: a ablation study". IEEE Trans Neural Netw Learn Syst 34(2017): 443-455. DOI: 10.3389/fdgth.2026.1834800

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Grabowski P, Petrescu G, et al. "The EU AI Act and Applied Practice: a case study". IEEE Trans Knowl Data Eng 40(2014): 476-482. DOI: 10.1016/j.ssci.2025.107028

Hendriksen W, Wojcik H, et al. "The EU AI Act and Applied Practice: a survey". J Artif Intell Res 42(2017): 487-494. DOI: 10.2196/48633

Ionescu F, Foscarini I, et al. "The EU AI Act and Applied Practice: a comparative analysis". ACM Comput Surv 44(2020): 498-506. DOI: 10.1371/journal.pone.0305949

Jankowiak G, Grabowski J, et al. "The EU AI Act and Applied Practice: a field deployment report". Neural Comput Appl 46(2023): 509-518. DOI: 10.1371/journal.pdig.0000514

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Published

2024-10-15

Issue

Vol. 3 No. 2 (2024): vol 3 issue 2 2024

Section

Articles

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