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        <datestamp>2025-12-24</datestamp>
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      <dc:title>HerStory-NeSyAI: Designing inclusive metadata architectures with hybrid AI for epistemic justice in silenced narratives</dc:title>
      <dc:creator>Ferran-Ferrer, Núria</dc:creator>
      <dc:creator>Centelles, Miquel</dc:creator>
      <dc:subject>Inclusive Metadata</dc:subject>
      <dc:subject>Neuro-Symbolic AI</dc:subject>
      <dc:subject>Epistemic Justice</dc:subject>
      <dc:description>A presentation of the HerStory-NeSyAI project, which designs inclusive metadata architectures using hybrid AI to address epistemic justice in silenced narratives. It combines interdisciplinary approaches from Library and Information Science, Digital Humanities, and Feminist Theory. The project aims to bridge historical and technological silences by focusing on gender-sensitive representation and ethical AI development. A hybrid neuro-symbolic AI architecture is developed to mitigate bias and enhance transparency in knowledge infrastructures. The ultimate goal is to transform AI into a vehicle for historical and social accountability.</dc:description>
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      <dc:date>2025-12-24</dc:date>
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      <dc:source>Dublin Core Metadata Initiative Conference Proceedings</dc:source>
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