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    <title>What “Real Risk” Means For AI-Assisted Refugee Status Determination</title>
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    <namePart>Ellen Hertz, Maya</namePart>
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    <namePart>Gammeltoft-Hansen, Thomas</namePart>
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    <publisher>Verfassungsblog</publisher>
    <dateIssued>2025-11-28</dateIssued>
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  <abstract displayLabel="Summary">European asylum systems increasingly rely on AI tools—from identity checks to case summarisation—promising fairness and efficiency but also raising significant human rights and transparency issues. Because Refugee Status Determination depends heavily on credibility assessments amid limited evidence, AI risks replicating bias, introducing new proxy discrimination, and deepening epistemic uncertainty. This contribution asks how current AI models may generate foundational uncertainties in Refugee Status Determination and what, if anything, can be salvaged from AI going forward.</abstract>
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  <note type="statement of responsibility">Ellen Hertz, Maya</note>
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    <identifier type="issn">2366-7044</identifier>
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      <namePart>Max Steinbeis Verfassungsblog gGmbH</namePart>
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  <identifier type="doi">10.59704/65e66bd895af5c3b</identifier>
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