<?xml version="1.0" encoding="UTF-8"?>
<ArticleSet>
  <Article>
    <Journal>
      <PublisherName></PublisherName>
      <JournalTitle>Legal Studies in Digital Age</JournalTitle>
      <Issn></Issn>
      <Volume></Volume>
      <Issue>In Press</Issue>
      <PubDate PubStatus="epublish">
        <Year>2027</Year>
        <Month>09</Month>
        <Day>01</Day>
      </PubDate>
    </Journal>
    <ArticleTitle>Applications of Artificial Intelligence During the Election Conduct Phase with an Emphasis on Iran’s Electoral System</ArticleTitle>
    <VernacularTitle>Applications of Artificial Intelligence During the Election Conduct Phase with an Emphasis on Iran’s Electoral System</VernacularTitle>
    <FirstPage>1</FirstPage>
    <LastPage>12</LastPage>
    <Language>EN</Language>
    <AuthorList>
      <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>2026</Year>
        <Month>05</Month>
        <Day>12</Day>
      </PubDate>
    </History>
    <Abstract>&lt;p&gt;The development of artificial intelligence-based technologies has created new opportunities to manage and oversee the electoral process. During the Election Conduct Phase, from the start of voting to the counting and aggregation of results, is one of the most important parts of the electoral process because it directly affects the health, integrity, and validity of the votes. At this stage, artificial intelligence can improve the efficiency, speed, and integrity of the election process by predicting participation rates, optimally allocating ballot boxes, ballots, and human resources, managing unforeseen crises, monitoring vote-counting, analyzing election data, and identifying statistical anomalies. However, this technology faces challenges such as algorithmic error, bias in resource allocation, privacy violations, threats to vote confidentiality, lack of algorithmic transparency, data security risks, and the complexity of Legal responsibility arising from errors in intelligent systems. This study examines Applications of Artificial Intelligence During the Election Conduct Phase with an Emphasis on Iran’s electoral system, using a descriptive-analytical method and library resources. Research findings show that artificial intelligence can play an effective role in promoting the health and efficiency of elections by optimizing the management of electoral resources and creating new capacities for monitoring and detecting anomalies; however, the legitimate and responsible use of this technology requires adherence to the principles of transparency, impartiality, accountability, human oversight, protection of personal data, and ensuring the confidentiality of votes. Therefore, Iran must use artificial intelligence during the Election Conduct Phase within a legal and institutional framework that leverages technological capabilities while protecting citizens' electoral rights and the integrity of the voting process.&lt;/p&gt;</Abstract>
    <ObjectList>
      <Object Type="keyword">
        <Param Name="value">Algorithmic Transparency</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">Artificial Intelligence</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">Electoral Monitoring</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">Election Conduct Phase</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">Iranian Electoral System</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">Public Law</Param>
      </Object>
    </ObjectList>
    <ArchiveCopySource DocType="pdf">https://www.jlsda.com/index.php/lsda/article/download/484/400</ArchiveCopySource>
  </Article>
</ArticleSet>
