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How the question of accountability is shaping the adoption of artificial intelligence in the German public sector – using the federal employment agency as a case example

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Resumo:This thesis examines how artificial intelligence (AI) is being introduced into the German public sector and how stakeholders understand the ethical requirements linked to its use. Based on expert interviews with consultants, AI providers and employees of the Federal Employment Agency (BA), the study finds that AI adoption remains cautious and fragmented due to legal uncertainty, limited organisational capacity and reliance on external vendors. Explainability is widely valued but often reduced to technical features that cannot meet legal justification standards. Accountability formally remains with humans, yet opaque systems challenge meaningful oversight. Strengthened governance structures are essential for responsible AI use.
Autores principais:Mehl, Julius Quirin
Assunto:Artificial Intelligence Public sector Algorithmic decision-making Explainability Accountability Transparency AI governance Germany Federal employment agency EU AI act Transformation State reform
Ano:2026
País:Portugal
Tipo de documento:dissertação de mestrado
Tipo de acesso:acesso aberto
Instituição associada:Universidade Nova de Lisboa
Idioma:inglês
Origem:Repositório Institucional da UNL

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