<?xml version="1.0" encoding="UTF-8"?>
<ArticleSet>
  <Article>
    <Journal>
      <PublisherName></PublisherName>
      <JournalTitle>Journal of Historical Research, Law and Policy</JournalTitle>
      <Issn>3115-7505</Issn>
      <Volume></Volume>
      <Issue>In Press</Issue>
      <PubDate PubStatus="epublish">
        <Year>2027</Year>
        <Month>01</Month>
        <Day>01</Day>
      </PubDate>
    </Journal>
    <ArticleTitle>Application of Artificial Intelligence in the International Trade System</ArticleTitle>
    <VernacularTitle>Application of Artificial Intelligence in the International Trade System</VernacularTitle>
    <FirstPage>1</FirstPage>
    <LastPage>14</LastPage>
    <ELocationID EIdType="doi">10.61838/jhrlp.329</ELocationID>
    <Language>EN</Language>
    <AuthorList>
      <Author>
        <FirstName></FirstName>
        <LastName></LastName>
        <Affiliation></Affiliation>
      </Author>
    </AuthorList>
    <PublicationType>Journal Article</PublicationType>
    <History>
      <PubDate PubStatus="received">
        <Year>2026</Year>
        <Month>02</Month>
        <Day>10</Day>
      </PubDate>
    </History>
    <Abstract>&lt;p&gt;The present study was conducted with the aim of comprehensively examining and analyzing the emerging mechanisms of the application of artificial intelligence in the international trade system and its legal implications. This study provides a detailed explanation of the transformative impacts of artificial intelligence on the global value chain. These impacts include logistics optimization, automation of trade documentation, improvement of demand forecasting, and significant enhancement of efficiency in customs procedures. The primary focus is on how these technologies contribute to increasing transparency, reducing costs, and minimizing operational risks in cross-border transactions. The study further concentrates on the legal and regulatory consequences of these applications. The legal analysis includes the examination of emerging challenges such as issues related to cross-border data governance, the determination of civil liability arising from algorithmic decisions, the compatibility of smart contracts with international contract law, and the existing gaps in international standardization. The research methodology adopts a qualitative descriptive-analytical approach based on documentary research and content analysis of legal rules and regulations. In addition to describing the current state of affairs, the study critically evaluates existing frameworks and proposes policy-oriented solutions for adapting the legal system of trade to the era of artificial intelligence.&lt;/p&gt;</Abstract>
    <ObjectList>
      <Object Type="keyword">
        <Param Name="value">Artificial Intelligence</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">Contract</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">Arbitration</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">Trade</Param>
      </Object>
    </ObjectList>
    <ArchiveCopySource DocType="pdf">https://jhrlp.com/index.php/jhrlp/article/download/329/268</ArchiveCopySource>
  </Article>
</ArticleSet>
