The Agency for Digital Italy (AgID) produced the “AI in Public Administration” report, which provides an overview of artificial intelligence (AI) projects within central public administrations and national public service operators.
This initiative falls under the Three-Year Plan for IT in Public Administration 2024-2026 and focuses on AI applications and strategic databases. The aim is to support investment strategies and the dissemination of AI in the public sector.
A structured questionnaire was used to conduct the survey, which was completed by 108 out of 142 organisations contacted (76%). Of these, 45 had initiated IA projects. A total of 120 projects were surveyed, 50 of which focused on social infrastructure and 70 on other areas.
Key outcomes
The survey explored numerous aspects related to technologies, financing, procurement methods, stakeholders, impacts, critical issues and challenges.
Almost half of AI projects in public administrations aim to improve operational efficiency, 24% to enhance data management and 18% to optimise access to services.
Data for training comes mainly from internal databases, sometimes including personal or synthetic data. Little attention is paid to data quality, which may have a negative impact on reliability.
Procurement methods are varied, with Framework Agreements and Consip instruments prevailing.
Internal expertise is present but limited, with heavy reliance on external consultants.
Only 20% of the projects have defined KPIs, raising doubts about the strategic capacity of the administrations.
Recomendations
The analysis of AI projects raises a number of recommendations to ensure a more efficient and sustainable implementation in the public sector. Focusing on reliable and environmentally friendly technologies is the first step, and these should be integrated into existing information systems. It is crucial to improve data quality and management, ensuring accuracy, interoperability and respect for privacy.
Simplifying access to AI solutions and promoting dedicated tenders preceded by pilot projects are the ways in which public procurement can be innovated. Planning must be strategic, with clear objectives, defined KPIs and a focus on scalability.
Adopting open innovation methodologies and involving internal structures across the board is recommended. It is also crucial to develop specific skills, map internal resources, and create roles such as AI Officer and Data Steward.
Learn more by reading the full report.
