99746 - SEM. INTELLIGENZA ARTIFICIALE PER IL DIRITTO: DALLE DECISIONI AUTOMATICHE ALLA TUTELA DEI DIRITTI

Learning outcomes

The seminar presents the main artificial intelligence (AI) technologies, and discusses AI risks and opportunities. In particular, it introduces the main approaches for the development of intelligent systems: a) knowledge representation and automated reasoning, b) machine learning (supervised, unsupervised, and reinforcement learning), and c) robotics (embodied AI). The topic of algorithmic decisions making is investigated, by examining limits, standards for efficiency and ethics (accuracy, fairness, non-discrimination, transparency). Finally, beneficial uses of AI are illustrated, with particular reference to the protection of rights. Examples of applications in the field of contract analysis, consumer protection and data protection are introduced.

Course contents

• For students attending the seminar (frequentanti), the detailed course content corresponds to the list of readings and materials with the possibility of replacing some contents with new topics discussed during the lectures.

The seminar is divided into two parts: AI technologies; AI risks and opportunities

AI technologies: the enablers; main approaches and methods.

Knowledge representation and automated reasoning.

Machine learning methods and systems (supervised, unsupervised, and reinforcement learning): introduction to big data and the law, legal text analytics systems; case studies

AI risks and opportunities.

Legal issues of AI: Big data, Algorithmic decision making, algorithmic justice: predictive systems and the issues of fairness and transparency, data protection, Legal liability related to AI and Robotics.

 

Readings/Bibliography

The list of readings will be made available on Virtuale.

Teaching methods

Lectures are held by Prof. Lagioia with the support of collaborators.

I warmly invite the students to actively participate in the lectures and discuss with teachers and other students  news and events, related to the topics of the seminar.

During the seminar the students will have a chance to attend different conferences held by professors and professional lawyers on the topics of this course. 

Further information available at the following Internet address: https://dsg.unibo.it/en/teaching/projects-and-teaching-methodologies

Assessment methods

The exam consists alternatively in:

1) Individual or Group activity: Students are required to make a small  project, individually or as member of  a group (max 4/5 students), depending on the number of students attending the seminar. Each student/group chooses a topic from a list. The list of topics will be defined during the course. Each student/group must communicate to francesca.lagioia@unibo.it the following information:

• the chosen topic
• a brief description (max 1000 characters) about the tentative proposal
• group members’ name
  

This will be useful to arrange the scheduling of  presentations that will be published on the course webpage.

In order to maintain a good variety in the scheduling and only in the case several students or groups submit similar proposals, they may be required  to change the object of the presentation.

IMPORTANT: each student/group will prepare a presentation of the proposal and every student in the group must present part of it.

This activity will be evaluated.

2) An oral test on the topics discussed in the seminar and the materials made available on Virtuale

Teaching tools

All the seminar information and materials (e.g., slides, readings, list of topics) will be made available on Virtuale.

Office hours

See the website of Francesca Lagioia