Artificial Intelligence (AI) represents a highly transformative technology, capable not only of fostering innovation in official statistics but also of reshaping organizational processes and models. Due to its disruptive potential and the need to identify and mitigate associated risks, it is essential to establish a governance framework that is both robust and adaptable—capable of responding swiftly to ongoing developments. In this context, Istat has adopted an AI Governance Framework: a structured set of policies, procedures, and best practices developed through the synergistic collaboration of multiple organizational units. This framework is aligned with the risk levels defined by the AI Act and is designed to assess the impact of algorithms on citizens’ rights and interests, while maintaining a balance between innovation and public trust. The framework is built upon three interconnected pillars: • Innovation: promoting AI solutions that enhance operational efficiency and process quality; • Data & Rules: defining guidelines and best practices to ensure responsible and compliant use of AI; • People: fostering internal competencies through continuous training and targeted communication. The adopted model ensures adherence to ethical principles and the current regulatory framework, promoting a culture of responsible and informed AI use. In this regard, user-centricity is reflected in the development of use cases that are aligned with the Institute’s strategic objectives and regulatory context. In parallel, Istat is piloting governance monitoring tools aimed at ensuring effective oversight of AI applications, mitigating potential risks, and preserving the organization’s innovative capacity. The implementation plan for the framework includes a pilot phase to initiate activities, deploy monitoring tools, collect user feedback, and incorporate it into a continuous improvement process. In this work, we present the structure of the AI Governance Framework adopted by Istat, along with selected use cases and the tools necessary to support effective governance.
ISTAT, Italian National Institute of Statistics, Italy
ISTAT, Italian National Institute of Statistics, Italy
ISTAT, Italian National Institute of Statistics, Italy
Titolo del capitolo
Adopting AI at Istat: Solutions and perspectives
Autori
Sara Letardi, Simona Pace, Marco Polizzi
Lingua
Inglese
DOI
10.36253/979-12-215-1062-1.45
Opera sottoposta a peer review
Anno di pubblicazione
2026
Copyright
© 2026 Author(s)
Licenza d'uso
Licenza dei metadati
Titolo del libro
Data, Statistics and AI for Well-Being of People and Organisations
Curatori
Luigi Fabbris, Alberto Franci, Pietro Renzi
Opera sottoposta a peer review
Numero di pagine
420
Anno di pubblicazione
2026
Copyright
© 2026 Author(s)
Licenza d'uso
Licenza dei metadati
Editore
Firenze University Press
DOI
10.36253/979-12-215-1062-1
ISBN Print
979-12-215-1061-4
eISBN (pdf)
979-12-215-1062-1
eISBN (xml)
979-12-215-1063-8
Collana
Applied Statistics Series