Ai and Public Administration
A.Y. 2024/2025
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 can be attended as a single course.
Course syllabus and organization
Single session
Responsible
Lesson period
Second semester
Course syllabus
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.
Prerequisites for admission
Prerequisites indicated in the study plan
Teaching methods
Lectures and discussions with students. Students are expected to independently research and give short presentations on specific topics.
Teaching Resources
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
Assessment methods and Criteria
The final exam will take place in the form of an oral examination which will aim at assessing the knowledge and understanding of the subject, as well as the ability to communicate. In addition to knowledge of the basics of the subject, the final exam will assess the ability to deepen a specific topic among those studied during the course, on the basis of academic literature collected independently by the student.
INF/01 - INFORMATICS - University credits: 3
IUS/10 - ADMINISTRATIVE LAW - University credits: 3
IUS/10 - ADMINISTRATIVE LAW - University credits: 3
Lessons: 48 hours
Professors:
Castano Silvana, Galetta Diana Urania
Professor(s)
Reception:
To meet the Professor please write an e-mail to: [email protected]
Sabbatical leave from October 1, 2023 to September 30, 2024 in relation to the "Internationale Gastprofessur" won at the University of Heidelberg (Germany) in the context of the "Exzellenzinitiative 2022-2023".