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  <titleInfo>
    <title>Afterword - Systemic Unfairness for Migrants, Asylum Seekers and Refugees in the Algorithmic Era</title>
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    <namePart>Vavoula, Niovi</namePart>
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    <publisher>Verfassungsblog</publisher>
    <dateIssued>2025-12-12</dateIssued>
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  <abstract displayLabel="Summary">This post synthesises key insights from the AFAR symposium on fairness and AI in asylum, migration and border management. While EU policy frames fairness as a core requirement of trustworthy AI, contributors show how discrimination, opacity, privatisation and weak procedural safeguards undermine that promise. Examining risks from biased data to secrecy in high-risk systems, the post highlights structural obstacles to fair decision-making and calls for sustained oversight, participatory governance, and research grounded in the lived experiences of those most affected.</abstract>
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  <note type="statement of responsibility">Vavoula, Niovi</note>
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    <identifier type="issn">2366-7044</identifier>
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