Bringing Certainty to AI Integration: A Case Study in Norwegian University Admissions

10 pages•Published: November 6, 2025

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

Abstract

With the advancement of machine learning (ML) and artificial intelligence (AI) products, such technologies are increasingly being explored for novel applications in various contexts. The Norwegian Ministry of Digitalization is leading an initiative to promote the safe and legal use of AI in the public sector. As part of a broader initiative to modernize and enhance Norwegian university admissions services, an AI/ML team of five part-time student employees was established to explore AI possibilities within this context. The team operates under the Norwegian Agency for Shared Services in Education and Research (Sikt), which oversees the technical renewal of student administrative and admission services in the Norwegian education sector. This paper draws on the experiences and findings of the team since they began their exploration in Summer 2023, highlighting the challenges and opportunities associated with AI in the Norwegian education context. The multidisciplinary team, comprising both designers and developers, provided diverse perspectives on AI integration.
The main findings indicate that the lack of organizational structures and implementation plans for AI integration is primarily due to prioritization challenges. Effective cross-disciplinary collaboration proved essential—both between developers and designers to ensure that user needs are met, and between project teams and managers to ensure alignment with organizational strategies. The study recommends teams to utilize proof-of-concept methods as a strategy to establish structures facilitating documentation of learnings and recognize AI development as an emergent process. By addressing these challenges, the Norwegian public sector can better leverage AI to enhance educational services, ensuring both innovation and compliance with legal and regulatory frameworks.

Keyphrases: ai integration, cross disciplinary collaboration, digitalization, emergent process, learning, organizational structures, university admissions

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 304-313.

Links:	https://easychair.org/publications/paper/kHLH
	https://doi.org/10.29007/z1fr

BibTeX entry

@inproceedings{EUNIS2025:Bringing_Certainty_AI_Integration,
  author    = {Arman Bulak Hagelia and Eira Scherjon and Hanbit Choi and Aksel Skullerud Fosaas and Zara Mudassar and Sander Garland Slinning},
  title     = {Bringing Certainty to AI Integration: A Case Study in Norwegian University Admissions},
  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/kHLH},
  doi       = {10.29007/z1fr},
  pages     = {304-313},
  year      = {2025}}

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