{"id":{"repo_id":"potsdam-thes","oai_identifier":"oai:kobv.de-opus4-uni-potsdam:69466"},"canonical_url":"https://search.dev.ndltd.org/etd/potsdam-thes/oai:kobv.de-opus4-uni-potsdam:69466","repository":{"repo_id":"potsdam-thes","name":"Universität Potsdam - Thes","base_url":"https://publishup.uni-potsdam.de/opus4-ubp/oai"},"display":{"title":"From policy to practice: AI integration in Brazilian and German public administration","abstract":"Artificial Intelligence (AI) is rapidly transforming public administration, but its implementation is shaped by local contexts. This thesis compares AI adoption in Belo Horizonte, Brazil, and Berlin, Germany, examining how administrative traditions influence results. Belo Horizonte, with a hybrid governance system, uses existing tech contracts for cost-effective AI implementation, prioritizing efficiency and citizen engagement, while facing secondary resource and ethical challenges. Berlin, within a strong legalistic tradition, emphasizes data sovereignty and ethical safeguards, but encounters challenges related to bureaucratic fragmentation. Using a comparative case study approach, drawing on semi-structured expert interviews, and a meso-level analytical framework, this research reveals significant differences. Belo Horizonte's approach is pragmatic and incremental, while Berlin's is more cautious and legitimacy-focused. Findings demonstrate that while administrative traditions strongly influence AI implementation, local context and strategic choices are also crucial. The study highlights the need for context-sensitive approaches to study AI adoption in public administration, moving beyond universal solutions and recognizing the importance of factors like institutional capacity, regulation, and public value strategies.","abstract_html":"Artificial Intelligence (AI) is rapidly transforming public administration, but its implementation is shaped by local contexts. This thesis compares AI adoption in Belo Horizonte, Brazil, and Berlin, Germany, examining how administrative traditions influence results. Belo Horizonte, with a hybrid governance system, uses existing tech contracts for cost-effective AI implementation, prioritizing efficiency and citizen engagement, while facing secondary resource and ethical challenges. Berlin, within a strong legalistic tradition, emphasizes data sovereignty and ethical safeguards, but encounters challenges related to bureaucratic fragmentation. Using a comparative case study approach, drawing on semi-structured expert interviews, and a meso-level analytical framework, this research reveals significant differences. Belo Horizonte's approach is pragmatic and incremental, while Berlin's is more cautious and legitimacy-focused. Findings demonstrate that while administrative traditions strongly influence AI implementation, local context and strategic choices are also crucial. The study highlights the need for context-sensitive approaches to study AI adoption in public administration, moving beyond universal solutions and recognizing the importance of factors like institutional capacity, regulation, and public value strategies.","abstract_has_math":false,"creators":["Ganz Resende, Frederico"],"institution":"Universität Potsdam","degree_name":null,"degree_level":"master","degree_discipline":null,"degree_department":null,"school":null,"contributors":["Kuhlmann, Sabine","Wehmeier, Liz"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2025,"date_issued":"2025-04-14","date_published":"2025-04-14","updated_at":"2026-07-24T03:52:15Z","subjects":["Artificial Intelligence","comparative public administration","administrative traditions","global south","Künstliche Intelligenz","vergleichende Verwaltungswissenschaft","Verwaltungstraditionen","globaler Süden"],"languages":[],"rights":["CC-BY - Namensnennung 4.0 International"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://publishup.uni-potsdam.de/frontdoor/index/index/docId/69466","outbound_label":"Repository record","outbound_source":"source_url"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Kuhlmann, Sabine","Wehmeier, Liz"]},{"key":"dc:creator","label":"Author","values":["Ganz Resende, Frederico"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:publisher","label":"Institution","values":["Universität Potsdam"]},{"key":"dc:type","label":"Dc Type","values":["masterThesis"]},{"key":"thesis:degree_level","label":"Degree Level","values":["master"]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["Universität Potsdam"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Artificial Intelligence","comparative public administration","administrative traditions","global south","Künstliche Intelligenz","vergleichende Verwaltungswissenschaft","Verwaltungstraditionen","globaler Süden"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:rights","label":"Dc Rights","values":["CC-BY - Namensnennung 4.0 International"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["Artificial Intelligence (AI) is rapidly transforming public administration, but its implementation is shaped by local contexts. This thesis compares AI adoption in Belo Horizonte, Brazil, and Berlin, Germany, examining how administrative traditions influence results. Belo Horizonte, with a hybrid governance system, uses existing tech contracts for cost-effective AI implementation, prioritizing efficiency and citizen engagement, while facing secondary resource and ethical challenges. Berlin, within a strong legalistic tradition, emphasizes data sovereignty and ethical safeguards, but encounters challenges related to bureaucratic fragmentation. Using a comparative case study approach, drawing on semi-structured expert interviews, and a meso-level analytical framework, this research reveals significant differences. Belo Horizonte's approach is pragmatic and incremental, while Berlin's is more cautious and legitimacy-focused. Findings demonstrate that while administrative traditions strongly influence AI implementation, local context and strategic choices are also crucial. The study highlights the need for context-sensitive approaches to study AI adoption in public administration, moving beyond universal solutions and recognizing the importance of factors like institutional capacity, regulation, and public value strategies.","Künstliche Intelligenz (KI) verändert die Verwaltung rapide, doch ihre Implementierung wird durch lokale Kontexte geprägt. Diese Masterarbeit vergleicht die KI-Einführung in Belo Horizonte, Brasilien, und Berlin, Deutschland, und untersucht, wie Verwaltungstraditionen die Ergebnisse beeinflussen. Belo Horizonte nutzt, mit einem hybriden Governance-System, bestehende Technologieverträge für eine kosteneffiziente KI-Implementierung, wobei Effizienz und Bürgerbeteiligung im Vordergrund stehen, während Ressourcen- und Ethikfragen nachrangig behandelt werden. Berlin, mit einer stark rechtsstaatlichen Tradition, legt Wert auf Datensouveränität und ethische Standards, steht aber vor Herausforderungen im Zusammenhang mit bürokratischer Fragmentierung. Mittels einer vergleichenden Fallstudienanalyse, basierend auf Experteninterviews und einem Meso-Ebenen-Analysemodell, zeigt diese Forschung wichtige Unterschiede auf. Belo Horizontes Ansatz ist pragmatisch und inkrementell, während Berlins Ansatz vorsichtiger und legitimitätsorientierter ist. Die Ergebnisse zeigen, dass Verwaltungstraditionen die KI-Implementierung stark beeinflussen, der lokale Kontext und strategische Entscheidungen aber ebenso entscheidend sind. Die Studie unterstreicht den Bedarf an kontextsensitiven Ansätzen zur Untersuchung der Einführung von KI in der Verwaltung, die über Universallösungen hinausgehen und die Bedeutung von Faktoren wie institutioneller Kapazität, Regulierung und public value-Strategien berücksichtigen."]},{"key":"dc:format.medium","label":"Dc Format Medium","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["From policy to practice: AI integration in Brazilian and German public administration","Von der Politik zur Praxis: KI-Integration in der öffentlichen Verwaltung Brasiliens und Deutschlands"]}]}],"canonical_facts":{"dc:contributor":["Kuhlmann, Sabine","Wehmeier, Liz"],"dc:creator":["Ganz Resende, Frederico"],"dc:description.abstract":["Artificial Intelligence (AI) is rapidly transforming public administration, but its implementation is shaped by local contexts. This thesis compares AI adoption in Belo Horizonte, Brazil, and Berlin, Germany, examining how administrative traditions influence results. Belo Horizonte, with a hybrid governance system, uses existing tech contracts for cost-effective AI implementation, prioritizing efficiency and citizen engagement, while facing secondary resource and ethical challenges. Berlin, within a strong legalistic tradition, emphasizes data sovereignty and ethical safeguards, but encounters challenges related to bureaucratic fragmentation. Using a comparative case study approach, drawing on semi-structured expert interviews, and a meso-level analytical framework, this research reveals significant differences. Belo Horizonte's approach is pragmatic and incremental, while Berlin's is more cautious and legitimacy-focused. Findings demonstrate that while administrative traditions strongly influence AI implementation, local context and strategic choices are also crucial. The study highlights the need for context-sensitive approaches to study AI adoption in public administration, moving beyond universal solutions and recognizing the importance of factors like institutional capacity, regulation, and public value strategies.","Künstliche Intelligenz (KI) verändert die Verwaltung rapide, doch ihre Implementierung wird durch lokale Kontexte geprägt. Diese Masterarbeit vergleicht die KI-Einführung in Belo Horizonte, Brasilien, und Berlin, Deutschland, und untersucht, wie Verwaltungstraditionen die Ergebnisse beeinflussen. Belo Horizonte nutzt, mit einem hybriden Governance-System, bestehende Technologieverträge für eine kosteneffiziente KI-Implementierung, wobei Effizienz und Bürgerbeteiligung im Vordergrund stehen, während Ressourcen- und Ethikfragen nachrangig behandelt werden. Berlin, mit einer stark rechtsstaatlichen Tradition, legt Wert auf Datensouveränität und ethische Standards, steht aber vor Herausforderungen im Zusammenhang mit bürokratischer Fragmentierung. Mittels einer vergleichenden Fallstudienanalyse, basierend auf Experteninterviews und einem Meso-Ebenen-Analysemodell, zeigt diese Forschung wichtige Unterschiede auf. Belo Horizontes Ansatz ist pragmatisch und inkrementell, während Berlins Ansatz vorsichtiger und legitimitätsorientierter ist. Die Ergebnisse zeigen, dass Verwaltungstraditionen die KI-Implementierung stark beeinflussen, der lokale Kontext und strategische Entscheidungen aber ebenso entscheidend sind. Die Studie unterstreicht den Bedarf an kontextsensitiven Ansätzen zur Untersuchung der Einführung von KI in der Verwaltung, die über Universallösungen hinausgehen und die Bedeutung von Faktoren wie institutioneller Kapazität, Regulierung und public value-Strategien berücksichtigen."],"dc:format.medium":["application/pdf"],"dc:publisher":["Universität Potsdam"],"dc:rights":["CC-BY - Namensnennung 4.0 International"],"dc:subject":["Artificial Intelligence","comparative public administration","administrative traditions","global south","Künstliche Intelligenz","vergleichende Verwaltungswissenschaft","Verwaltungstraditionen","globaler Süden"],"dc:title":["From policy to practice: AI integration in Brazilian and German public administration","Von der Politik zur Praxis: KI-Integration in der öffentlichen Verwaltung Brasiliens und Deutschlands"],"dc:type":["masterThesis"],"thesis:degree_level":["master"],"thesis:institution_name":["Universität Potsdam"]},"updated_at":"2026-07-24T03:52:15Z"}