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Grassroots Journal of Natural Resources
Article . 2025 . Peer-reviewed
Data sources: Crossref
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ZENODO
Article . 2025
License: CC BY
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Artificial Intelligence Application in the Digitalization of Local Governance: Opportunities and Challenges of Sustainable Development

Authors: Iryna Piatnychuk; Iurii Gudz; Kateryna Rovynska; Andriy Savytskyy; Sergey Stepanenko; Myroslav Zhdankevych;

Artificial Intelligence Application in the Digitalization of Local Governance: Opportunities and Challenges of Sustainable Development

Abstract

The growing advancement of artificial intelligence (AI) technologies has prompted local governments worldwide to contemplate incorporating it into their operations. This study investigates the intersection of digitalization and AI within the framework of local governance, drawing on principles from the sustainable development paradigm. Utilizing a hybrid study technique that incorporates both constructivist and positivist paradigms, the research demonstrates that AI can serve as a tool and intermediary between individuals and governments, assisting them in understanding one another and developing a more democratic governance model. It can also promote community welfare and health, break down socioeconomic barriers, and ensure a more sustainable and fair future for all. Particular attention is paid to the possibilities of AI in facilitating effective environmental (ecological) monitoring in communities.

Keywords

Artificial Intelligence; Local government; Digital transformation; Environmental protection; Awareness; Local-level strategies

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green
gold