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2025 EDUCAUSE AI Landscape Study: Into the Digital AI Divide

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AI - privacy and ethics 2.0

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Frame of reference and community website about AI - privacy and ethics


Artificial Intelligence (AI) / Large Language Models (LLMs) (in Public Sector / Skills Domain)

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As the world gradually uncovers the potential of artificial intelligence, language models have long been a significant focus within scientific research. While models such as GPT, Claude, and Mistral have demonstrated their ability to perform a wide variety of tasks, they don’t come without flaws, and many studies continue to explore ways to enhance their capabilities.

In a recent study, the SEMIC team delved into the realm of domain adaptation, investigating how retraining Large Language Models (LLMs) with public sector data could enhance AI performance specifically for public sector-related tasks.


Artificial Intelligence for Interoperability in the European Public Sector

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This report provides the result of a research study conducted within the context of the Public Sector Tech Watch, an observatory developed by DG DIGIT, with the support of the Joint Research Centre (JRC), that provides a knowledge hub and a virtual space where public administrations, civil society, GovTech companies and researchers can find and share knowledge and experience. The report’s primary goal is to offer an analysis of how Artificial Intelligence (AI) systems are improving interoperability in the European Public Sector.


EU AI Act

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The AI Act is the first-ever legal framework on AI, which addresses the risks of AI and positions Europe to play a leading role globally.

The AI Act (Regulation (EU) 2024/1689 laying down harmonised rules on artificial intelligence)is the first-ever comprehensive legal framework on AI worldwide. The aim of the rules is to foster trustworthy AI in Europe.


EUA - overview on Artificial intelligence

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Building on EUA’s previous work (EUA = European Universities Association) on digital transformation, its AI work programme, guided by a dedicated task-and-finish group, will address how AI can benefit university management, research and education, while also addressing its ethical dimensions and social impact.


Research program NOLAI (NL, National Education Lab Artificial Intelligence)

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Onderzoeksprogramma Nationaal Onderwijs Lab Artificiële Intelligentie:

Het onderzoeksprogramma van NOLAI vormt de basis voor de ontwikkeling van het wetenschappelijke programma en de focusgebieden binnen NOLAI. Het beschrijft onder andere de theoretische uitgangspunten, het perspectief van NOLAI op AI in onderwijs en de centrale onderzoeksthema’s.


Strategic agenda 2025-2027 (AIC4NL)

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Strategische agenda 2025-2027


ZKI Top Trends survey 2025

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The Strategy and Organisation working group of the ZKI Association1 conducts an annual survey on the most important topics and trends of IT institutions from universities and research institutes. The survey results are intended to help keep an eye on important developments, topics and best practices and to keep pace with the extensive fields of digitalisation and the rapid pace of technological innovation, as well as to provide suggestions for further development at your own institution. The core survey addresses the most important topics and changes in the survey year in a standardised form. In addition, individual focal points that concern many organisations are surveyed each year. For the year 2025, the focus questions were in the area of "digitalisation and AI". In particular, the survey aims to shed light on the organisational structures and responsibilities in the field of digitalisation at universities. Furthermore, successful and unsuccessful examples as well as the reasons for the failure of projects will be analysed. In the field of AI, the focus is on the survey of existing offers and those currently being developed, as well as the expected changes for the IT centres at universities.