- Docente: Monica Palmirani
- Credits: 3
- Language: English
- Moduli: Monica Palmirani (Modulo 1) Michele Corazza (Modulo 2)
- Teaching Mode: Traditional lectures (Modulo 1) Traditional lectures (Modulo 2)
- Campus: Bologna
- Corso: Second cycle degree programme (LM) in Legal Studies (cod. 9062)
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from Nov 18, 2024 to Nov 25, 2024
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from Nov 29, 2024 to Dec 09, 2024
Learning outcomes
The course aims to provide the general knowledge about the more recent techniques of the Artificial Intelligence (AI), with the aim to experiment their applications to the Legal Doman (e.g., judiciary system, parliaments, legislation institutions, legaltech, law firm) and to comment the results using the Legal Disciplines. International professors have been invited to present their experiences (e.g., Kevin Ashley, University of Pittsburgh).
For doing so, we introduce also the philosophical and ethic aspects of AI, and the AI Act regulations for checking if some AI systems are compliant or not to the current European legislation. We face in particular the risks and the opportunities of the Generative AI that could provide useful support to the legal stakeholders and
The students will experiment in the labs the use of specific tools and techniques, by applying them to legal case studies.
Course contents
Prerequisites
It is strongly suggested to attend "Data Science for Lawyers".
Contents
The course is structured as follow:
- Introduction to the main technical groups of AI systems
- Introduction to the AI Act and the ethics implications
- Introduction to Large Language Models
- Study of cases and experiments to Legal Domain
- Critical analysis of the results
Readings/Bibliography
https://ai-guide.future.mozilla.org/content/llms-101/
Teaching methods
The teaching is mainly given in classrooms, with some activities that will be held in laboratories using personal computers.
Assessment methods
The final exam aims to assess the acquisition of the knowledge and competencies to analyse AI techniques, to suggest solutions and to validate the results in the light of legal disciplines and ethical principles.
The final exam is based on a project performed in group and presented in front of the other colleagues with slides, applications, evidence.
The students should demonstrate to understand the AI techniques, to formulate a case-study and to propose a solution, to test the solution and to evaluate using critical thinking approach.
Teaching tools
- Slides, readings virtuale.unibo.it
Office hours
See the website of Monica Palmirani
See the website of Michele Corazza