<?xml version="1.0" encoding="UTF-8"?>
<ArticleSet>
  <Article>
    <Journal>
      <PublisherName></PublisherName>
      <JournalTitle>Legal Studies in Digital Age</JournalTitle>
      <Issn></Issn>
      <Volume>5</Volume>
      <Issue>Serial Number 15</Issue>
      <PubDate PubStatus="epublish">
        <Year>2026</Year>
        <Month>04</Month>
        <Day>01</Day>
      </PubDate>
    </Journal>
    <ArticleTitle>Feasibility of Artificial Intelligence in the Enforcement of International Environmental Law</ArticleTitle>
    <VernacularTitle>Feasibility of Artificial Intelligence in the Enforcement of International Environmental Law</VernacularTitle>
    <FirstPage>1</FirstPage>
    <LastPage>13</LastPage>
    <Language>EN</Language>
    <AuthorList>
      <Author>
        <FirstName></FirstName>
        <LastName></LastName>
        <Affiliation></Affiliation>
      </Author>
      <Author>
        <FirstName></FirstName>
        <LastName></LastName>
        <Affiliation></Affiliation>
      </Author>
      <Author>
        <FirstName></FirstName>
        <LastName></LastName>
        <Affiliation></Affiliation>
      </Author>
    </AuthorList>
    <PublicationType>Journal Article</PublicationType>
    <History>
      <PubDate PubStatus="received">
        <Year>2025</Year>
        <Month>07</Month>
        <Day>01</Day>
      </PubDate>
    </History>
    <Abstract>&lt;p&gt;This study examines the feasibility of artificial intelligence (AI) in the enforcement of international environmental law. Considering that the ultimate objective of international environmental regulations is their effective implementation, the United Nations Environment Programme reported in January 2019 that the enforcement of these laws has been weak and unsuccessful (UNEP, 2019). Therefore, measures must be devised to overcome barriers to the implementation of such regulations. One of these measures is the use of AI, which is analyzed with the aim of improving enforcement conditions and enhancing compliance with international environmental rules, in order to determine whether AI can remedy weaknesses in the implementation of international environmental laws. The research method is descriptive–analytical, and data were collected through a library-based approach. The writing draws upon sources such as international environmental conventions and treaties, books and journals in the field of artificial intelligence, and relevant specialized articles. The gathered data were subsequently analyzed. It is expected that AI—through monitoring compliance with international environmental regulations, identifying and predicting environmental risks, analyzing datasets, and supporting more sustainable decision-making—will facilitate the enforcement of international environmental law. These findings may contribute to improving the implementation of international environmental regulations.&lt;/p&gt;</Abstract>
    <ObjectList>
      <Object Type="keyword">
        <Param Name="value">Artificial intelligence</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">Technological tools</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">Enforcement</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">International law</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">Environment</Param>
      </Object>
    </ObjectList>
    <ArchiveCopySource DocType="pdf">https://www.jlsda.com/index.php/lsda/article/download/282/240</ArchiveCopySource>
  </Article>
</ArticleSet>
