Workshop: Forensics
A.Y. 2025/2026
Learning objectives
The course aims to analyze the discipline of evidence with a more practical approach. In particular, it will look at law cases in which evidentiary experiments were conducted also using the latest technology. The goal is to offer students a laboratory where they can experience the effects of evidentiary experiments conducted through the most advanced scientific methods including artificial intelligence.
Expected learning outcomes
After the workshop, students will be able to analyze scientific methodologies dedicated to forensic evidence.
Lesson period: Second semester
Single course
This course cannot be attended as a single course. Please check our list of single courses to find the ones available for enrolment.
Course syllabus and organization
Single session
Lesson period
Second semester
Course syllabus
The course aims to analyze the discipline of evidence with a more practical approach. In particular, it will look at law cases in which evidentiary experiments were conducted also using the latest technology. The goal is to offer students a laboratory where they can experience the effects of evidentiary experiments conducted through the most advanced scientific methods including artificial intelligence.
Prerequisites for admission
We recommend attending also the course Justice by Algorithm.
Teaching methods
Classroom lectures
Teaching Resources
Attending students
Teaching materials include students' class notes, documents examined during the semester and other suggested readings that will be provided in preparation of each class.
Non attending students
Teaching materials include:
- TARSKI, The Semantic Conception of Truth: and the Foundations of Semantics, in Philosophy and Phenomenological Research, Vol. 4, No. 3 (Mar., 1944), pp. 341-376 (https://www.jstor.org/stable/2102968);
- Global Toolkit on AI and the Rule of Law for the Judiciary, available for download at https://unesdoc.unesco.org/ark:/48223/pf0000387331
Teaching materials include students' class notes, documents examined during the semester and other suggested readings that will be provided in preparation of each class.
Non attending students
Teaching materials include:
- TARSKI, The Semantic Conception of Truth: and the Foundations of Semantics, in Philosophy and Phenomenological Research, Vol. 4, No. 3 (Mar., 1944), pp. 341-376 (https://www.jstor.org/stable/2102968);
- Global Toolkit on AI and the Rule of Law for the Judiciary, available for download at https://unesdoc.unesco.org/ark:/48223/pf0000387331
Assessment methods and Criteria
There will be no examinations.
- University credits: 3
Humanities workshops: 36 hours
Professor:
Tavassi Ludovica