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Subnational Variations in AI Policy : Insights from German States

Zeidler, Marian Elias (2024) Subnational Variations in AI Policy : Insights from German States.

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Abstract:The rapid integration of Artificial Intelligence (AI) across various sectors presents both unprecedented opportunities and significant challenges, necessitating robust governance frameworks. This thesis investigates the AI governance strategies of German federal states, focusing on how these strategies reflect the roles these states assume within a theoretical governance framework. By exploring the intersection of AI governance and federalism, this study provides a nuanced understanding of the diverse approaches employed by subnational entities within Germany. The theoretical framework underpinning this research draws on multi-level governance theory and the concept of AI federalism, emphasizing the dual role of federal states as independent policymakers and integral components of national AI strategies. This study employs a comparative case study design, incorporating a mixed methods approach that combines qualitative content analysis with fuzzy-set qualitative comparative analysis (fsQCA). Data were collected from AI strategies, digital strategies, coalition agreements, and cabinet reports of seven German federal states. The analysis reveals significant variations in the activity levels and strategic focuses of different states. The findings underscore the importance of subnational entities in shaping AI governance, reflecting the principles of AI federalism and highlighting the complex interplay between different governance levels.
Item Type:Essay (Bachelor)
Faculty:BMS: Behavioural, Management and Social Sciences
Subject:88 social and public administration, 89 political science
Programme:Management Society and Technology BSc (56654)
Link to this item:https://purl.utwente.nl/essays/102070
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