Ai and public administration
A.A. 2024/2025
Obiettivi formativi
The first module of the course, "Public Administration, Single-case Decision making and Judicial Review in the era of Digitalisation and Artificial Intelligence ", aims to establish the fundamental principles of Public Administration's Decision-Making in the era of digitalisation and Artificial Intelligence, according to the idea that the AI Revolution comes, but public law does not go away. The main questions to be addressed concern the impact on the principles of Decision-Making, as well as on administrative procedure and the right to good administration. A special focus on Judicial Review of Public Administration's Automated Decision making is also given.
The second module of the course, "Artificial Intelligence for Decision Support in Public Administration and Justice ", aims to provide foundations of Machine Learning (ML) and Natural Language Processing (NLP) required to address the Large Language Models (LLM) and generative AI techniques. Applications of LLMs and generative AI in the Public Administration scenario are discussed. A specific focus on the Justice domain is given, by providing a case study of applying LLMs on a legal documents repository for knowledge extraction and legal document building.
The second module of the course, "Artificial Intelligence for Decision Support in Public Administration and Justice ", aims to provide foundations of Machine Learning (ML) and Natural Language Processing (NLP) required to address the Large Language Models (LLM) and generative AI techniques. Applications of LLMs and generative AI in the Public Administration scenario are discussed. A specific focus on the Justice domain is given, by providing a case study of applying LLMs on a legal documents repository for knowledge extraction and legal document building.
Risultati apprendimento attesi
Knowledge and understanding
Students are expected to be able to understand the basic principles of Public Administration's Decision-Making, Administrative procedure and the right to good administration, as well as the specific problems related to Automated Decision Making (ADM) in Public Administration.
Students are expected to be able to understand requirements and objectives of AI and AI-based decision processes in Public Administration and Justice.
Students are expected to be able to understand the principles and basic notions of LLMs and generative AI techniques.
Applying knowledge and understanding
Students shall be able to use their knowledge and comprehension to analyse real-world decision-making scenarios in public administration that involve the implementation of IA systems.
Students will be able to apply LLMs introduced in the course to real datasets for decision problems.
Students are expected to be able to understand the basic principles of Public Administration's Decision-Making, Administrative procedure and the right to good administration, as well as the specific problems related to Automated Decision Making (ADM) in Public Administration.
Students are expected to be able to understand requirements and objectives of AI and AI-based decision processes in Public Administration and Justice.
Students are expected to be able to understand the principles and basic notions of LLMs and generative AI techniques.
Applying knowledge and understanding
Students shall be able to use their knowledge and comprehension to analyse real-world decision-making scenarios in public administration that involve the implementation of IA systems.
Students will be able to apply LLMs introduced in the course to real datasets for decision problems.
Periodo: Secondo semestre
Modalità di valutazione: Esame
Giudizio di valutazione: voto verbalizzato in trentesimi
Corso singolo
Questo insegnamento può essere seguito come corso singolo.
Programma e organizzazione didattica
Edizione unica
Responsabile
Periodo
Secondo semestre
Programma
Il primo modulo del corso dal titolo "Public Administration, Single-case Decision making and Judicial Review in the era of Digitalisation and Artificial Intelligence", mira a stabilire i principi fondamentali del procedimento decisionale della Pubblica Amministrazione nell'era della digitalizzazione e dell'Intelligenza Artificiale, sulla base della idea che, se la rivoluzione AI sta arrivando, il diritto pubblico non andrà per questo a scomparire.
Le principali questioni da affrontare riguardano:
- l'impatto sui principi del processo decisionale
- l'impatto sul procedimento amministrativo e sul diritto ad una buona amministrazione.
Verrà inoltre prestata particolare attenzione anche ad aspetti inerenti al successivo controllo giurisdizionale di decisioni e procedimenti della PA "automatizzati".
Le principali questioni da affrontare riguardano:
- l'impatto sui principi del processo decisionale
- l'impatto sul procedimento amministrativo e sul diritto ad una buona amministrazione.
Verrà inoltre prestata particolare attenzione anche ad aspetti inerenti al successivo controllo giurisdizionale di decisioni e procedimenti della PA "automatizzati".
Prerequisiti
Propedeuticità indicate nel piano di studi
Metodi didattici
Lezioni frontali e discussioni in aula sulla base di esposizioni da parte degli studenti di argomenti approfonditi in autonomia.
Materiale di riferimento
1) Diana-Urania Galetta, Herwig C.H. Hofmann, Evolving AI-based Automation - The Continuing Relevance of Good Administration, in European Law Review, 2023/6, pp. 617-635
2) Diana-Urania Galetta, Digital Transition of Public Administration in Italy and the Right to a Good Administration: Problems and Prospects also in the Perspective of the Implementation of Italy's Recovery and Resilience Plan, in European Review of Digital Administration & Law (ERDAL), 2022/1, pp. 57-72
3) Diana-Urania Galetta, Giulia Pinotti, Algorithmic Decision-Making Systems used by Public Administration in Italy, in CERIDAP, 1/2023, https://ceridap.eu (9 gennaio 2023), pp. 13-23
4) Diana-Urania Galetta, Technological Transition in response to COVID. Scattered Thoughts on the possibility of a (Technological) transition to a Digitalized Public Administration in Italy, with the help of the Recovery and Resilience Plan, in CERIDAP, 4/2021, https://ceridap.eu (16 novembre 2021), pp. 154-164
2) Diana-Urania Galetta, Digital Transition of Public Administration in Italy and the Right to a Good Administration: Problems and Prospects also in the Perspective of the Implementation of Italy's Recovery and Resilience Plan, in European Review of Digital Administration & Law (ERDAL), 2022/1, pp. 57-72
3) Diana-Urania Galetta, Giulia Pinotti, Algorithmic Decision-Making Systems used by Public Administration in Italy, in CERIDAP, 1/2023, https://ceridap.eu (9 gennaio 2023), pp. 13-23
4) Diana-Urania Galetta, Technological Transition in response to COVID. Scattered Thoughts on the possibility of a (Technological) transition to a Digitalized Public Administration in Italy, with the help of the Recovery and Resilience Plan, in CERIDAP, 4/2021, https://ceridap.eu (16 novembre 2021), pp. 154-164
Modalità di verifica dell’apprendimento e criteri di valutazione
L'esame finale si svolgerà sotto forma di colloquio orale che mirerà a valutare la conoscenza e capacità di comprensione della materia, oltre che l'abilità nella comunicazione. Oltre alla conoscenza delle nozioni di base della materia, sarà valutata la capacità di approfondire un argomento specifico fra quelli oggetto di studio durante il corso, sulla base di materiali dottrinari raccolti autonomamente dallo studente.
INF/01 - INFORMATICA - CFU: 3
IUS/10 - DIRITTO AMMINISTRATIVO - CFU: 3
IUS/10 - DIRITTO AMMINISTRATIVO - CFU: 3
Lezioni: 48 ore
Docenti:
Castano Silvana, Galetta Diana Urania
Siti didattici
Docente/i
Ricevimento:
Su appuntamento tramite email
Online OR Via Celoria 18 - Stanza 7012
Ricevimento:
Concordato direttamente con la docente via e-mail. Si prega dunque di inviare una e-mail a: [email protected]
Online su piattaforma Microsoft Teams o in presenza, presso l'ufficio sito in Via Festa del Perdono 7, presso il Dipartimento di diritto pubblico italiano e sovranazionale (piano terra)