Ai and Public Administration
A.Y. 2025/2026
Learning objectives
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.
Expected learning outcomes
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.
Lesson period: Second semester
Assessment methods: Esame
Assessment result: voto verbalizzato in trentesimi
Single course
This course cannot be attended as a single course. Please check our list of single courses to find the ones available for enrolment.
Course syllabus and organization
Single session
Responsible
Lesson period
Second semester
INF/01 - INFORMATICS - University credits: 3
IUS/10 - ADMINISTRATIVE LAW - University credits: 3
IUS/10 - ADMINISTRATIVE LAW - University credits: 3
Lessons: 48 hours
Professor:
Galetta Diana Urania
Professor(s)
Reception:
To meet the Professor please write an e-mail to: [email protected]
Online on the Microsoft Teams platform or in presence, at the office located in Via Festa del Perdono 7, at the Department of Public Law and supranational (ground floor)