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This article examines how artificial intelligence is reshaping governance processes in public administration. It aims to develop a conceptual framework for algorithmic governance and its implications for public value.

July 29, 2026Industrial Artificial IntelligenceOpen Access

Artificial intelligence and the transformation of public administration: towards an algorithmic governance paradigm

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This article examines how artificial intelligence is reshaping governance processes in public administration. It aims to develop a conceptual framework for algorithmic governance and its implications for public value.
Qualitative, theory-driven approach
Systematic review of interdisciplinary literature
Analytical synthesis across public administration and AI scholarship
AI is transitioning governance from hierarchical, rule-based systems to adaptive, data-driven models.
Gaps in accountability mechanisms are identified due to the opaque nature of algorithmic decision-making.
A public value–centred governance framework is necessary for effective AI integration.

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Implication

Qualitative evaluation of AI's impact on governance in public administration, suggesting new frameworks for accountability.

Cite This Study

Hofisi et al. (2026) studied this question.

synapsesocial.com/papers/6a69a2fcc8da07d9defa732a https://doi.org/10.1007/s44244-026-00034-8

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Artificial intelligence and the transformation of public administration: towards an algorithmic governance paradigm

Key Points

Discussion

Implication

Cite This Study

Artificial intelligence and the transformation of public administration: towards an algorithmic governance paradigm

Key Points

Discussion

Implication

Cite This Study

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