Predictive Governance. Balancing Efficiency and Liberties in AI-Driven Bureaucracy
Predictive Governance. Balancing Efficiency and Liberties in AI-Driven Bureaucracy

Summary/Abstract: This research explores the model of predictive governance and focuses on the introduction of AI within the bureaucratic apparatus to enhance administrative effectiveness. The main objective is to analyze the impact of AI-based decision-making on public administration and the legal concerns it raises regarding civil liberties and democratic accountability. By applying an interdisciplinary methodology, comparative case studies and technological analysis of algorithmic systems, the research identifies the main benefits: automating routine tasks, improving service delivery and data-driven policy making. It also identifies threats: algorithmic opacity, erosion of procedural safeguards, mass surveillance and marginalization of human control. The study concludes that unregulated predictive governance can lead to a techno-bureaucratic style emphasizing efficiency over rights. To prevent this, a balanced system of governance based on transparency and legal accountability is proposed. The implications are twofold: policymakers need to take proactive regulatory measures to control the deployment of artificial intelligence in government, and countries need to ensure that technological progress does not undermine fundamental freedoms.

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