MACCHINE INTELLIGENTI E DIRITTO

MACCHINE INTELLIGENTI E DIRITTO

Fabrizio Corona, Nicola Lettieri

Obiettivi formativi

Introduce students to the scientific and applicative perspectives stemming from the encounter between law, computer science and information technology. Offer an updated overview of the tools and methods that support the science and practice of law through digital technologies and automatic data processing. Introduce students to a cultural and scientific perspective in which computation and information science turn into an opportunity to fundamentally rethink the paradigms of legal science and practice

Risultati di apprendimento attesi

Students will be able to follow the analytical content of this course if they have a basic knowledge in: Civil Law, Corporate Law, Labour Law, EU Law, Business and Administration, Marketing and Informatics. By basic knowledge we mean the command of the notions offered in the courses of the first University degree as well as the learning of the standard models of the forenamed subjects.

Contenuti Del Corso

1. Introduction to Legal Informatics: Foundations 2. Legal Informatics: Key Concepts and Branches 3. Information and Documentation in the Digital Age 4. Legal Information Retrieval 5. Knowledge Machineries: tools and methods for legal analytics 6. ICT and Legislative Drafting 7. E-democracy, E-participation 8. Artificial Intelligence and Law: Origins and Early Applications 9. Computational Social Science and Computational Legal studies 10. Focus: artificial societies and law 11. Focus: complex network analysis and law 12. Tools and Perspectives of Techno-regulation

Testi Di Riferimento

The reference materials for the course will consist of slides and scientific articles that will be uploaded to the professor's webpage.

Metodologie Didattiche

Slides will be available after the lesson covering each of the specific topics addressed in the course.

Modalità di verifica dell'apprendimento

Oral Exam

Criteri per l’assegnazione dell’elaborato finale

The final exam is oral and is aimed at verifying the general skills acquired by the student at the end of the course through an open discussion on the main topics of the course

Settimana 1

GDPR: general provisions, principles, right of the data subject Introduction to Legal Informatics: Foundations: Origin of the discipline and historical background, Lee Loevinger and Jurimetrics

Settimana 2

GDPR: Controller and processor, Transfers of personal data to third countries or international organisations, General conditions for imposing administrative fines. Legal Informatics: Key Concepts and Branches: Law and cybernetics, Branches of Legal Informatics

Settimana 3

practical exercise. Information and Documentation in the Digital Age: Legal information and documentation: introductory concepts, Legal DBs: features and types

Settimana 4

Digital Market Act (DMA): subject matter and scope, gatekeepers, market investigation. Legal Information Retrieval: Formal and semantic description of documents, Search strategies for legal information

Settimana 5

Digital service Act (DSA): general provisions, liability of providers of intermediary services, due diligence obligations for a transparent and safe online environment. Knowledge Machineries: tools and methods for legal analytics: Introduction to legal analytics, New frontiers: visual analytics

Settimana 6

practical exercise. ICT and Legislative Drafting: Preliminary concepts, Standards for automatic processing of normative texts: XML, URN NIR, and Akoma Ntoso, IT tools for legislative drafting:

Settimana 7

Cybersecurity act: Mandate and objectives, Tasks, enisa. E-democracy, E-participation: The Web and citizen participation: e-participation, Open data and open government, ICT and democracy

Settimana 8

NIS 2 Directive: general provisions, coordinated cybersecurity frameworks, cybersecurity risk-management measures and reporting obligations. Artificial Intelligence and Law: Origins and Early Applications: Artificial intelligence: preliminary concepts, Legal applications of AI: from expert systems to Quantitative legal prediction and large language models

Settimana 9

Practical exercise. Computational Social Science and Computational Legal studies: Theoretical framework: complexity theory and computational science, Computational social sciences (CSS): new approaches to the study of social complexity, CSS: methodologies, From computational social science to computational legal studies

Settimana 10

Artificial Intelligence Act: General Provisions, prohibited AI practice, Hight AI Systems. Focus: artificial societies and law: Artificial societies: the computer simulation of social life, Social simulation and its applications in the legal world, Examples

Settimana 11

Artificial Intelligence Act: transparency obligations for providers and deployers of certain ai systems, general-purpose ai models, measures in support of innovation. Focus: complex network analysis and law: Introduction: graph theory and network analysis , Network analysis and its applications in the legal world, Examples

Settimana 12

practical exercise. Tools and Perspectives of Techno-regulation: "The code is law": the rise of normative environments, Techno-regulation: first experiences and case studies