In the public sector (PS), the use of artificial intelligence (AI) has increased significantly in recent years. The wide range of technologies that make up AI enable its use across numerous fields. As AI has expanded, public sector servants (PSSs) have been required to adapt, acquiring new competences in order to use these technologies effectively and responsibly. Programmes such as Master’s degrees are the primary method of training, successfully educating thousands of PSSs worldwide every year. However, AI operates within a rapidly evolving digital landscape, and having received good training does not necessarily mean being able to keep up to date with all AI developments in the PS. In this regard, there is a lack of solutions specifically designed to meet this need. The risk of failing to address this issue is that, over time, competence gaps may emerge amongst public sector servants, which could lead to scenarios that are difficult to manage. This study was developed as part of the AI4Gov Accelerate project. This project is based on the principle of lifelong learning and aims to offer Master’s programmes and skills development platforms with the objective of training PSSs in the fields of AI, data spaces (DS) and digital governance transformation (DGT). Serving a double purpose, the thesis has been structured accordingly. Firstly, it aims to delve into the relationship between PSSs and AI, specifically on how they keep constantly up to date with AI in the PS. This is carried out through literature review, interviews, surveys, and an analysis of current solutions. Based on the findings, insights were generated, and a series of opportunities was identified. Secondly, a service was designed to address the opportunities identified in the research and to be integrated into the existing offering of the AI4Gov Accelerate project. This is achieved through the ideation, prototyping and testing of a service, involving various stakeholders in activities such as co-design sessions, user validation and testing.
Nel settore pubblico (SP), l’uso dell’intelligenza artificiale (IA) è aumentato in modo significativo negli ultimi anni. L’ampia gamma di tecnologie che la compongono rende possibile il loro utilizzo in numerosi ambiti. Con l’espansione dell’IA, i funzionari del SP sono stati chiamati ad adattarsi, acquisendo nuove competenze per poterle utilizzare efficacemente e con consapevolezza. Programmi come i Master sono il principale metodo di formazione e consentono di formare con successo migliaia di funzionari del settore pubblico in tutto il mondo ogni anno. Tuttavia, l’IA opera in un panorama digitale in rapida evoluzione, e aver ricevuto una buona formazione non significa necessariamente essere in grado di mantenersi aggiornati su tutti i suoi sviluppi nell’ambito del settore pubblico. A riguardo, mancano soluzioni specificamente progettate per rispondere a questa esigenza. Il rischio di non affrontare questo problema è che, nel tempo, possano emergere lacune di competenza fra chi opera all’interno del SP, le quali potrebbero portare a scenari complessi da gestire. Il presente studio è stato sviluppato nell’ambito del progetto AI- 4Gov Accelerate. Tale progetto si fonda sul principio del lifelong learning e mira ad offrire Master e piattaforme per lo sviluppo delle competenze, con l’obiettivo di formare i funzionari del settore pubblico nei settori dell’IA, dei data spaces (DS) e della digital governance transformation (DGT). La tesi persegue un duplice obiettivo ed è stata strutturata di conseguenza. In primo luogo, mira ad approfondire il rapporto tra i lavoratori del SP e l’IA, concentrandosi in particolare su come essi si mantengano costantemente aggiornati sui suoi sviluppi. Ciò avviene attraverso una literature review, interviste, sondaggi e un’analisi delle soluzioni attuali. Sulla base dei risultati ottenuti, vengono generati alcuni insights e identificate una serie di opportunità. In secondo luogo, progettare un servizio che risponda alle opportunità individuate nella ricerca e che possa essere integrato nell’offerta esistente del progetto AI4Gov Accelerate. Ciò si ottiene ideando, prototipando e testando un servizio e coinvolgendo al contempo vari stakeholders in attività quali sessioni di co-design, validazione e testing.
Supporting lifelong learning in Artificial Intelligence for the public sector: a design proposal for a complementary service within an educational project
Tomio, Francesco
2025/2026
Abstract
In the public sector (PS), the use of artificial intelligence (AI) has increased significantly in recent years. The wide range of technologies that make up AI enable its use across numerous fields. As AI has expanded, public sector servants (PSSs) have been required to adapt, acquiring new competences in order to use these technologies effectively and responsibly. Programmes such as Master’s degrees are the primary method of training, successfully educating thousands of PSSs worldwide every year. However, AI operates within a rapidly evolving digital landscape, and having received good training does not necessarily mean being able to keep up to date with all AI developments in the PS. In this regard, there is a lack of solutions specifically designed to meet this need. The risk of failing to address this issue is that, over time, competence gaps may emerge amongst public sector servants, which could lead to scenarios that are difficult to manage. This study was developed as part of the AI4Gov Accelerate project. This project is based on the principle of lifelong learning and aims to offer Master’s programmes and skills development platforms with the objective of training PSSs in the fields of AI, data spaces (DS) and digital governance transformation (DGT). Serving a double purpose, the thesis has been structured accordingly. Firstly, it aims to delve into the relationship between PSSs and AI, specifically on how they keep constantly up to date with AI in the PS. This is carried out through literature review, interviews, surveys, and an analysis of current solutions. Based on the findings, insights were generated, and a series of opportunities was identified. Secondly, a service was designed to address the opportunities identified in the research and to be integrated into the existing offering of the AI4Gov Accelerate project. This is achieved through the ideation, prototyping and testing of a service, involving various stakeholders in activities such as co-design sessions, user validation and testing.| File | Dimensione | Formato | |
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https://hdl.handle.net/10589/260765