COMPARATIVE DATA AND ARTIFICIAL INTELLIGENCE LAW

Annamaria Giulia PARISI COMPARATIVE DATA AND ARTIFICIAL INTELLIGENCE LAW

0160100448
DEPARTMENT OF LAW
EQF7
LAW
2024/2025

YEAR OF DIDACTIC SYSTEM 2012
SPRING SEMESTER
CFUHOURSACTIVITY
872LESSONS
Objectives
THE COURSE AIMS TO PROVIDE STUDENTS WITH THE KNOWLEDGE AND UNDERSTANDING OF THE ISSUES OF ADAPTATION OF TRADITIONAL LEGAL CATEGORIES TO TECHNOLOGICAL INNOVATION. TO THIS END, THE EUROPEAN UNION'S CONTINUALLY DEVELOPING INTERVENTIONS ON ARTIFICIAL INTELLIGENCE AND ROBOTICS AND THE EUROPEAN REGULATION ON THE PROTECTION OF PERSONAL DATA WILL BE EXAMINED. THE COURSE AIMS TO OFFER AN INTRODUCTION TO THE LEGAL SYSTEM OF DATA GOVERNANCE AS A PRESUMPTION FOR THE APPLICATIONS OF ARTIFICIAL INTELLIGENCE AND ALGORITHMIC DECISIONS, FROM A COMPARATIVE AND GLOBAL LAW PERSPECTIVE.
THE STUDENT WILL BE ABLE TO INTEGRATE HIS KNOWLEDGE INDEPENDENTLY AND TO MAKE JUDGMENTS IN BOTH PRACTICAL AND THEORETICAL SITUATIONS, TAKING INTO ACCOUNT THE DIFFERENT DISCIPLINARY PROFILES, SUBJECT OF STUDY IN OTHER COURSES; WILL BE ABLE TO COHERENTLY ARGUMENT SOLUTIONS TO LEGAL PROBLEMS, IN A CLEAR, ESSENTIAL AND CORRECT MANNER, FROM A SCIENTIFIC POINT OF VIEW; WILL HAVE THE APPROPRIATE TECHNICAL TERMINOLOGY TO COMMUNICATE AND INTERACT WITH DIFFERENT INTERLOCUTORS IN THE WORLD OF WORK; WILL BE ABLE TO USE TRADITIONAL BIBLIOGRAPHICAL TOOLS AND IT ANALYSIS RESOURCES; TO CARRY OUT RESEARCH ACTIVITIES, UNDERSTANDING AND INTERPRETING COMPLEX TEXTS; TO CONTINUOUSLY UPDATE THEIR OWN KNOWLEDGE, USING TECHNICAL AND SCIENTIFIC LITERATURE.
Prerequisites
WRITTEN AND ORAL KNOWLEDGE OF AT LEAST ONE LANGUAGE OF THE EUROPEAN UNION ALSO WITH REGARD TO THE DISCIPLINARY TERMINOLOGY.
Contents
THE TOPICS COVERED WILL BE:
THE APPROACH OF DIFFERENT LEGAL ORDERS AND TRADITIONS (IN PARTICULAR, CHINA, EUROPE, USA) TO THE DATA GOVERNANCE SYSTEM;
THE RELATIONSHIP BETWEEN DATA AND TERRITORY;
DATA AS ECONOMIC RESOURCES;
DATA AS THE OBJECT OF FUNDAMENTAL RIGHTS;
DATA IN IOT AND ARTIFICIAL INTELLIGENCE;
THE IMPACT OF ARTIFICIAL INTELLIGENCE ON SORT;
ARTIFICIAL INTELLIGENCE AND CIVIL LAW;
USES OF ARTIFICIAL INTELLIGENCE BETWEEN RISKS AND OPPORTUNITIES;
DATA IN ALGORITHMIC DECISIONS;
DATA AND DIGITAL PLATFORMS.
Teaching Methods
THE COURSE IS MAINLY CHARACTERIZED BY A CASE-BASED METHODOLOGICAL APPROACH, AIMED AT FOSTERING STUDENTS’ CRITICAL CAPABILITIES AND INDEPENDENT JUDGEMENT. THE ADMINISTRATION OF THE GENERAL CONCEPTS IS ACCOMPANIED BY PERIODIC ASSESSMENTS THAT ALLOW TO CONSTANTLY CHECK THE LEARNING LEVEL AND, WHERE APPROPRIATE, TO ADOPT THE NECESSARY CORRECTIVE MEASURES. IN ORDER TO ACHIEVE THESE OBJECTIVES, THE METHODOLOGICAL AND SYSTEMATIC CONTENT WILL BE PRIVILEGED OVER THE QUANTITY OF GIVEN NOTIONS. THE COURSE ALSO INCLUDES THE ORGANIZATION OF SEMINARS AND PRACTICE TESTS THAT ALLOW THE STUDENT TO APPLY THE LEARNED KNOWLEDGE AND TO VERIFY THEIR COMPETENCES.
Verification of learning
THE ACHIEVEMENT OF THE TEACHING OBJECTIVES IS VERIFIED WITH A FINAL EXAM WITH GRADES EXPRESSED IN THIRTIETHS. THE ASSESSMENT HAS THE OBJECTIVE OF VERIFYING THE LEVEL OF UNDERSTANDING AND KNOWLEDGE ACHIEVED BY THE STUDENT ON THE CONTENTS INDICATED IN THE PROGRAM, THE MASTERING OF THE METHODOLOGICAL INSTRUMENTS, AND THE ABILITY TO APPLY THE ACQUIRED KNOWLEDGE TO SOLVE THEORETICAL AND PRACTICAL PROBLEMS. THE EXAM IS ORAL. THE EVALUATION CRITERIA ARE: 1) ABILITY TO EXPRESS ONESELF CLEARLY AND WITH A SUITABLE USE OF LEGAL TERMINOLOGY; 2) CAPACITY OF SYSTEMATIC ARTICULATION OF LEGAL REASONING; 3) CAPACITY TO SELECT THE DATA, STORING THE MOST SIGNIFICANT PROFILES; 4) ABILITY TO DEVELOP A LEGAL REASONING ABLE TO BRING OUT DEDUCTIVE AND INDUCTIVE INFERENCES. THE MAXIMUM GRADE OF 30/30 IS GIVEN WHEN THE STUDENT SHOWS A FULL AND DEEP KNOWLEDGE OF THE THEORETICAL CONTENT, AS WELL AS AN EXCELLENT ABILITY TO CONNECT THE LEGISLATIVE REFERENCES TO THE STUDY CONTEXT. THE MERIT IS GIVEN WHEN THE STUDENT SHOWS A SIGNIFICANT MASTERY OF THE THEORETICAL AND OPERATIONAL CONTENT, PRESENTING THE TOPICS WITH A CORRECT USE OF LANGUAGE AND AUTONOMOUS PROCESSING ABILITY EVEN IN DIFFERENT CONTEXTS FROM THOSE PROPOSED BY THE PROFESSOR.
Texts
UPDATED EDUCATIONAL MATERIALS WILL BE PROVIDED DURING THE COURSE
More Information
INDIVIDUAL PROGRAMS MAY BE AGREED WITH THE TRAINEES.
TEACHING ORGANIZATION: THE COURSE IS COMPOSED OF 72 HOURS OF LESSON. IT INCLUDES VARIOUS SEMINARS AND AIMS TO PROMOTE INTERACTIVE COMMUNICATION.
STUDENTS ARE INVITED TO ACTIVELY PARTICIPATE IN THE DEBATES SOLICITED BY THE TEACHER AND BY THE SPEAKERS OF LESSONS AND SPECIFIC THEMATIC MEETINGS.
THE COURSE IS ORGANIZED FOR STUDENTS WHOSE ATTENDANCE IS CONSISTENT. THE PROFESSOR IS AVAILABILE TO OFFER ADDITIONAL EXPLANATIONS.
USED LANGUAGE: ITALIAN.
  BETA VERSION Data source ESSE3 [Ultima Sincronizzazione: 2025-04-14]