Beyond the Hype: Real-World Insights on AI Integration and the Value of Alternative Solutions

10 pages•Published: November 6, 2025

Hanbit Choi, Aksel Skullerud Fosaas, Zara Mudassar, Sander Garland Slinning, Arman Bulak Hagelia and Eira Bjerkeng Scherjon

Abstract

This paper discusses the application of artificial intelligence (AI) in two distinct projects in Norway’s higher education sector. Team SAIL aimed to develop an AI-driven solution for document classification, addressing the time-consuming challenges faced by admission officers. The team created two solutions: one using ResNet, a pre-trained image classification model with transfer learning, and another client-side solution that classifies documents based on relevant text. The client-side solution was developed as a direct response to GDPR restrictions encountered during the development of the first model. Both solutions showed promising results, however implementation issues are present due to strict regulations such as GDPR.

Team Loggerne aimed to apply machine learning to the problem of analyzing and connecting logs from multiple different sources. They explored different ML techniques, ultimately deciding that the data was not fit for ML, and that the best option was to move away from ML and attempt other approaches.

This paper discusses both teams’ experiences, illustrating that while AI can be effectively used to improve efficiency, it might not always be suitable.

Keyphrases: ai feasibility, ai implementation challenges, ai in admissions processing, client side ai, data privacy regulations, document classification, ethical ai, gdpr compliance, higher education, log analysis, public sector ai, resnet, transfer learning

In: Laurence Desnos, Raimund Vogl, Lazaros Merakos, Carmen Diaz, Janina Mincer-Daszkiewicz and Stuart Mclellan (editors). Proceedings of EUNIS 2025 annual congress in Belfast, vol 107, pages 146-155.

Links:	https://easychair.org/publications/paper/s4Kj
	https://doi.org/10.29007/q6cn

BibTeX entry

@inproceedings{EUNIS2025:Beyond_Hype_Real_World,
  author    = {Hanbit Choi and Aksel Skullerud Fosaas and Zara Mudassar and Sander Garland Slinning and Arman Bulak Hagelia and Eira Bjerkeng Scherjon},
  title     = {Beyond the Hype: Real-World Insights on AI Integration and the Value of Alternative Solutions},
  booktitle = {Proceedings of EUNIS 2025 annual congress in Belfast},
  editor    = {Laurence Desnos and Raimund Vogl and Lazaros Merakos and Carmen Diaz and Janina Mincer-Daszkiewicz and Stuart Mclellan},
  series    = {EPiC Series in Computing},
  volume    = {107},
  publisher = {EasyChair},
  bibsource = {EasyChair, https://easychair.org},
  issn      = {2398-7340},
  url       = {/publications/paper/s4Kj},
  doi       = {10.29007/q6cn},
  pages     = {146-155},
  year      = {2025}}

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