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Harnessing Artificial Intelligence to Enhance Political Finance Oversight

2026/02/04 by Sam Power, GilSun Jeong · 1 voice
Computer Science · Economics, Econometrics and Finance · Social Sciences · #Artificial Intelligence Applications #Corruption and Economic Development #Fiscal Policies and Political Economy

paper · pdf · doi:10.31752/59539

openalex publication_date 2026/02/04 · openalex created_date 2026/02/06 · openalex updated_date 2026/07/31

Abstract

This report examines how artificial intelligence (AI) can transform political finance oversight, helping electoral management bodies (EMBs) automate routine tasks, analyse financial data more deeply and improve compliance monitoring. Drawing on case studies from Lithuania, Mexico and the UK, it highlights practical AI applications—from invoice scanning to real-time expense tracking—and the benefits of increased transparency and efficiency. The report also addresses key challenges, including resource constraints, digital skills gaps and the importance of public trust. It advocates for a ‘human in the loop’ approach, ensuring AI supports—and does not replace—democratic oversight. With practical recommendations for policymakers, regulators and other practitioners, this report is an essential guide for anyone interested in the future of democracy, transparency and the responsible use of AI in political finance. By fostering collaboration across EMBs, political parties, civil society, academia and industry, it charts a path towards more accountable, trustworthy and resilient electoral systems.

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