AI as Anti-Corruption Technology

Insights from Public Procurement Across the EU
1. Auflage 2026
ISBN: 978-1-041-16167-7
Verlag: Taylor & Francis Ltd

Buch, Englisch, 264 Seiten, Format (B × H): 152 mm x 229 mm

Reihe: Routledge Critical Studies in Public Management

AI as Anti-Corruption Technology intends to answer the questions: What drives and what hinders public organisations to experiment with Artificial Intelligence (AI) to tackle corruption? How do they navigate this terrain, and what dilemmas arise? This book explores how AI is innovating anti-corruption efforts across the European Union, focusing on the highly digitalised yet corruption-prone sector of public procurement.

As corruption becomes more complex, traditional anti-corruption approaches often fall short. In response, public authorities are turning to AI to process vast data, increase transparency, and reduce discretion, though not without risks. Yet, evidence on real-world applications remains limited. This book fills this gap with rich empirical insights from Italy, Germany, Estonia, and Cyprus, offering a comparative view of diverse corruption, digital government, and public procurement contexts. Drawing from interviews with public officials, data scientists, and experts, the book sheds light on actual AI-based applications in anti-corruption, their contexts of design and adoption, and their enablers and roadblocks. It also critically reflects on their implications, from corruption risks in AI procurement to the strategic (non)disclosure of these tools.

Bridging public administration, digital governance, and critical AI studies, this book equips readers, researchers, policymakers, and practitioners working at the intersection of digital innovation, the public sector, and the fight against corruption with practical knowledge and analytical tools to understand and reflect on AI-driven anti-corruption efforts.

Zielgruppe

Academic

Autoren/Hrsg.

Gerli, Carolina

Fachgebiete

• Sozialwissenschaften Politikwissenschaft Politische Systeme Verwaltungswissenschaft, Öffentliche Verwaltung
• Wirtschaftswissenschaften Wirtschaftssektoren & Branchen Wirtschaftssektoren & Branchen: Allgemeines
• Sozialwissenschaften Politikwissenschaft Regierungspolitik Wirtschafts- und Finanzpolitik
• Wirtschaftswissenschaften Volkswirtschaftslehre Wirtschaftspolitik, politische Ökonomie

Inhaltsverzeichnis

1. Evolving Threats, Evolving Tools: Anti-Corruption in the Digital Age 2. Theoretical Foundations: Towards An Analytical Framework for AI-based Anti-Corruption Technologies in Public Procurement 3. Case Studies in Context: Italy, Germany, Estonia, and Cyprus 4. AI-based Anti-Corruption Technologies in the Public Sector: From Public Procurement Insights to A Systematic Typology 5. Understanding AI Experimentation and Adoption: Enablers and Roadblocks to AI-based Anti-Corruption Technologies in the Public Sector 6. Beyond the Hype: Critical Implications for AI in Anti-Corruption 7. Conclusions - Contributions and the Road Ahead

Über Autor(innen)

Carolina Gerli is a postdoctoral researcher at the University of Duisburg-Essen, Germany, where she works on the EU-funded Horizon project RESPOND on political corruption. She received her PhD in Political and Social Sciences from the University of Bologna, Italy. Her research focuses on the use of AI in anti-corruption, AI applications in the public sector, and digital governance. Carolina holds an academic background in business and public administration from Bocconi University, Italy, and has professional experience as a government digital transformation consultant at PwC Italy.