This paper examines the implementation of artificial intelligence in decision-making processes within public administration, with a focus on addressing the challenges of transparency, accountability, and the intelligibility of AI-generated decisions. The paper discusses the importance of imputability in decisions made with deep learning algorithms. It emphasises that by granting public administrations full control over the training dataset, source code, and knowledge base, the imputability of the decision can be ensured. This control enables administrations to validate the relevancy and accuracy of the algorithm's training data, address potential biases, and comply with legal and ethical requirements. The paper then proposes the use of Large Language Models (LLM) as a solution to enhance the transparency and motivation behind AI-assisted decisions. It highlights that LLMs can generate articulate and comprehensible textual outputs that closely resemble human-generated decisions, allowing for a deeper understanding of the decision-making process. Furthermore, the paper emphasises the significance of providing access to the training dataset, source code, and individual administrative precedents to enhance transparency and accountability. It argues that by offering these components, stakeholders can evaluate the validity and reliability of AI-assisted decisions, fostering trust in the decision-making process.

The contribution addresses the issue of access to justice, in the perspective of the sustainable development goal 16 of the United Nations. After a brief analysis of the territorial organization of Italian administrative justice, the author focuses on the innovations of the electronic administrative trial to assess to what extent it has facilitated access to justice. The contribution therefore evaluates what limits still exist in the electronic administrative trial in the perspective of reducing distances and, on the basis of these considerations, makes some proposals to mitigate the problem of excessive length of the trials.

The Council of State confirmed the illegality of the resolution of the Municipality of Seregno which approved a complex corporate integration project between its subsidiary and A2A S.p.A.. The judgment is particularly interesting for two reasons. Firstly, it is confirmed that a public tender must be carried out in circumstances such as those of the present case, and secondly, it remains to be seen what consequences the ruling will have on the operation.

The contribution analyzes some critical issues in the procedures for entrusting the implementation of telematic booking systems for anti covid-19 vaccines. In particular, the Author emphasizes how the assignment to in-house companies has been unsuccessful. The Author also criticizes the choice of not reusing software solutions already developed for other public administrations. The comment concludes suggesting that the health emergency in progress should rather have led to make the best of the support that private operators could provide.

In light of the numerous restrictive measures adopted in Italy, as in many other countries, to contain the SARS-CoV-2 epidemic, the authors examine the terms with which the use of the “App Immuni” could be qualified as a legitimate condition for carrying out activities at risk of infection. Digital contact tracing could give greater effectiveness to the measures taken to contain the epidemic and, therefore, lead to a better calibration of the limitations to personal freedoms. In this perspective, the authors’ attention is focused on analyzing the functioning of the app Immuni, especially in view of protecting personal data and in light of the analysis of the relevant European standards, also analyzed through the prism of the principle of proportionality.

The article proposes new forms of participation and financing of public works that ensure the involvement of the population thanks to the solutions made possible by blockchain. The contribution starts from the consideration that the financing of public initiatives affects administrations and citizens closely, both as users and as taxpayers. The city is thus understood as an innovation laboratory, where virtuous solutions can be experimented and implemented while maintaining a close connection to the population. To this end, concrete solutions are proposed for innovative, traceable and sustainable financing of public infrastructures, activated with the new tools developed on blockchain technology.

Due to the coronavirus emergency, public authorities are faced with the unprecedented challenge of ensuring that the entire national population complies with the measures to contain the pandemic. Against the very high number of checks to be carried out, and the limited resources available to the police, the contribution examines how technology can be a valid support in the activities of administrations.