Artificial Intelligence in the Republic of Moldova (2023-2025): progress, policies and applications

This article examines and critically analyzes recent developments in the field of artificial intelligence (AI) in the Republic of Moldova over the past two to three years. It highlights technological advancements, public policy initiatives, and the practical implementation of AI in education, public administration, and the business sector. The study investigates strategic governmental actions, collaborations with international organizations, and the broader impact on both the educational landscape and the economic environment. It also addresses key challenges related to digital infrastructure, workforce training, and ethical regulation. The article provides a synthesized overview of current trends, emphasizing the need for a proactive approach and a flexible regulatory framework to ensure the sustainable development of the national AI ecosystem.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-05-23
DOI
https://doi.org/10.5281/zenodo.15614918
Primary Topic
Inflammatory Biomarkers in Disease Prognosis
Type
article
Field-Weighted Citation Impact
0.00
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article

Artificial Intelligence in the Republic of Moldova (2023-2025): progress, policies and applications

Zenodo (CERN European Organization for Nuclear Research)
Inflammatory Biomarkers in Disease Prognosis
article

Artificial Intelligence in the Republic of Moldova (2023-2025): progress, policies and applications

article en

Abstract

This article examines and critically analyzes recent developments in the field of artificial intelligence (AI) in the Republic of Moldova over the past two to three years. It highlights technological advancements, public policy initiatives, and the practical implementation of AI in education, public administration, and the business sector. The study investigates strategic governmental actions, collaborations with international organizations, and the broader impact on both the educational landscape and the economic environment. It also addresses key challenges related to digital infrastructure, workforce training, and ethical regulation. The article provides a synthesized overview of current trends, emphasizing the need for a proactive approach and a flexible regulatory framework to ensure the sustainable development of the national AI ecosystem.

Zenodo (CERN European Organization for Nuclear Research)
Academy of Economic Studies of Moldova (MD)
Openalex Percentile: Top 41%
Inflammatory Biomarkers in Disease Prognosis
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