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        <dc:title>Afterword - Systemic Unfairness for Migrants, Asylum Seekers and Refugees in the Algorithmic Era</dc:title>
        <dc:creator>Vavoula, Niovi</dc:creator>
        <dc:language>eng</dc:language>
        <dc:date>2025-12-12</dc:date>
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        <dc:description>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.</dc:description>
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