European Artificial Intelligence Act: Regulation of Artificial Intelligence in Digital Archives

European Artificial Intelligence Act (EU AI Act) was adopted by the EU Parliament in 2024 as part of the EU’s legislative process. In this article, the author proposes solutions based on AI tools and methodological approaches applied to Digitised and Born-Digital Archival Records from the point of view of computational approaches to analyze Digital collections. Computational Research methods include a wide range of approaches, including text and Data Mining, Data Visualization, Digital Data Analysis, and the use of Language Models in large numbers of Big Data. The application of Artificial Intelligence (AI) and its subsets, such as Data Mining, Machine Learning and Natural Language Processing, has expanded the scope of computational Research methods in Digital Archives, from the creator of Records to the Information Digital Specialist (Digital Archivist) and all the way to the end user. Digital collections such as eArchives have been increasingly recognised as an essential source for Multidisciplinary Research in recent decades.

Authors

Institutions

Publication Details

Journal
Moderna arhivistika
Published
2025-09-22
DOI
https://doi.org/10.54356/ma/2025/tcgj3655
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

European Artificial Intelligence Act: Regulation of Artificial Intelligence in Digital Archives

Lana Žaja
Moderna arhivistika
Ethics and Social Impacts of AI
article

European Artificial Intelligence Act: Regulation of Artificial Intelligence in Digital Archives

Lana Žaja
article en

Abstract

European Artificial Intelligence Act (EU AI Act) was adopted by the EU Parliament in 2024 as part of the EU’s legislative process. In this article, the author proposes solutions based on AI tools and methodological approaches applied to Digitised and Born-Digital Archival Records from the point of view of computational approaches to analyze Digital collections. Computational Research methods include a wide range of approaches, including text and Data Mining, Data Visualization, Digital Data Analysis, and the use of Language Models in large numbers of Big Data. The application of Artificial Intelligence (AI) and its subsets, such as Data Mining, Machine Learning and Natural Language Processing, has expanded the scope of computational Research methods in Digital Archives, from the creator of Records to the Information Digital Specialist (Digital Archivist) and all the way to the end user. Digital collections such as eArchives have been increasingly recognised as an essential source for Multidisciplinary Research in recent decades.

Moderna arhivistikaVol. 8(1)
Historical Archives (HU)
Openalex Percentile: Top 74%
Ethics and Social Impacts of AI
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.