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The AI-sylum Process: Ethical Implications of AI-Implementation in German Asylum Procedures

Al-Hadari, O. (2025) The AI-sylum Process: Ethical Implications of AI-Implementation in German Asylum Procedures.

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Abstract:This study explores the ethical implications of artificial intelligence (AI) in Germany’s asylum procedures, focusing on its impact on public administration and asylum seekers' rights. Using a qualitative research design centred on textual analysis, the study examines AI tools adopted by the German Federal Office for Migration and Refugees (BAMF) since 2015. The research applies the Ethics Guidelines for Trustworthy AI by the EU’s High-Level Expert Group on Artificial Intelligence (AI HLEG), focusing on four ethical principles - respect for human autonomy, prevention of harm, fairness, and explicability - operationalised through the Assessment List for Trustworthy AI (ALTAI). Findings highlight both the benefits of administrative efficiency and the risks of bias, lack of transparency and potential rights violations. The study identifies critical ethical challenges, particularly regarding vulnerable groups such as asylum seekers. Recommendations are provided for policymakers to ensure alignment of AI implementation with ethical and human rights standards. This research contributes to understanding the intersection of AI, ethics and public administration in sensitive, high-risk contexts, offering insights for improved governance and ethical compliance in the asylum process.
Item Type:Essay (Bachelor)
Faculty:BMS: Behavioural, Management and Social Sciences
Subject:70 social sciences in general, 88 social and public administration, 89 political science
Programme:Management Society and Technology BSc (56654)
Link to this item:https://purl.utwente.nl/essays/106027
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