Research Groups

PSG 1: e-Government: AI for Public Administration

Description and objective of the Study Group

This track aims to discuss how the integration of Artificial Intelligence (including Agentic Systems) is transforming public and administrative law, the organization and exercise of public power, and the legitimacy of decision‑making in digital public administrations, with a focus on ensuring that AI strengthens rather than replaces human intelligence and serves the common good.

Contributions will explore whether and how AI systems, capable of coordinating complex processes and interacting with data infrastructures and digital ecosystems, can be designed and governed to remain aligned with constitutional principles, fundamental rights, the rule of law and institutional trust.

As it is well known, the ongoing digital transition of public authorities is no longer limited to procedural dematerialisation but entails a broader transformation of public institutions and innovation frameworks, requiring public administrations to operate within interconnected digital ecosystems, to develop data-driven forms of coordination, and strengthen their ability to govern complex technological infrastructures for public value.

Agentic AI systems may autonomously manage multi-step administrative procedures and processes, coordinate workflows across institutional and territorial boundaries, and dynamically interact with data infrastructures and external actors. Public law is therefore increasingly called upon not only to regulate innovation but also to guide and shape it, ensuring that digital transformation remains aligned with constitutional principles, fundamental rights, and the public interest.

Contributions may explore experimental and narrative-based governance approaches, including regulatory sandboxes for AI in public administration, digital identity and trust frameworks such as ID wallets and interoperable infrastructures enabling secure interaction among public authorities, citizens, and economic operators.

The Call explicitly encourages submissions examining experiences, case studies, and regulatory approaches also beyond the European Union, providing empirical analyses of successful implementations, case studies, and best practices.

By bringing together diverse methodological perspectives from law, public administration, political science, computer science, and ethics, this Call invites contributions examining how public administrations can design, govern, and remain accountable for agentic AI systems embedded in administrative processes. Particular attention is devoted to institutional arrangements ensuring that AI operates at the service of human intelligence and the common good.

Contributions may also address specific sectoral and operational dimensions of AI integration in public administration, as illustrative areas of application within the broader reflection on the transformation of public law and governance in the age of AI, including:

  • Agentic AI in Public Organisations
  • AI-enabled health governance
  • AI-Driven Spatial and Urban Governance
  • AI in local public services
  • Innovation-driven and strategic public procurement
  • AI for the common good: welfare and inclusion policies
  • Interoperable Data Ecosystems for AI Government

CHAIRS

Gabriella Racca

University of Turin

Aristide Police

LUISS University, Italy

Patricia Valcárcel

Universidad de Vigo , Spain

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