| Course Type | Elective Course |
|---|
| Course Level | Bachelor's Degree |
|---|
| Year of Study | - |
|---|
| Semester | - |
|---|
| ECTS | 4 |
|---|
| Name of Lecturer(s) |
|
| Learning Outcomes |
At the end of this course, the students;
- Critically analyze the challenges that artificial intelligence technologies pose to the fundamental concepts and principles of the legal system,
- Identify legal issues arising from artifical intelligence technologies in the fields of liability law, criminal law, intellectual property law, data protection law, and human rights law, while comparing different approaches to solutions across legal systems,
- Assess the limitations of existing legal frameworks in adressing artificial intelligence and analyze how they should be redesigned with consideration for legal, ethical, and economic balances,
- Evaluate legal models for the classification and regulation of artifical intelligence systems based on their risk levels,
- Compare national and international legal approaches to artificial intelligence regulation and analyze how ethical standards are transformed into legal norms in this field.
|
| Mode of Delivery | Face to face |
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| Prerequisites | No |
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| Recommended Optional Programme Components | None. |
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| Course Description | This course examines the fundamental transformation that artificial intelligence technologies are bringing to legal systems while providing a comparative analysis of emerging regulatory frameworks designed to adress these technological challenges. |
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| Course Contents |
| WEEK |
TOPICS |
|
1st Week |
Artificial Intelligence and the Social Functions of Law |
|
2nd Week |
Transformation of Fundamental Legal Concepts in the Face of Artificial Intelligence |
|
3rd Week |
AI-Generated Damages and Fault-Based Liability |
|
4th Week |
Strict Liability in Artificial Intelligence Technologies |
|
5th Week |
Impact of Artificial Intelligence on Contract Law |
|
6th Week |
Effects of Artificial Intelligence on Objective and Subjective Elements of Criminal Law |
|
7th Week |
The Role of AI Systems in Criminal Law: Issues of Agency and Liability |
|
8th Week |
Midterm Exam |
|
9th Week |
Evaluation of AI-Generated Works Under Intellectual Property Law |
|
10th Week |
Protection of Personal Data in Artificial Intelligence Systems |
|
11th Week |
Impact of Artificial Intelligence on Fundamental Rights and Freedoms |
|
12th Week |
EU AI Act and Risk-Based Regulatory Approach |
|
13th Week |
Global Approaches to AI Regulation and the Ethics-Law Interface |
|
14th Week |
Legal Personhood Debates in Artificial Intelligence |
|
| Recommended or Required Reading | DiMatteo, L.A., Poncibo, C., & Cannarsa, M. (Eds). The Cambridge Handbook of Artificial Intelligence: Global Perspectives on Law and Ethics . Cambridge University Press.
Brownsword, R. Law, Technology and Society: Reimaging the Regulatory Environment. Routledge.
Abbott, R. The Reasonable Robot: Artificial Intelligence and the Law. Cambridge University Press.
Pagallo, U. The Laws of Robots: Crimes, Contracts and Torts. Springer. |
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| Planned Learning Activities and Teaching Methods |
- Lecture
- Questions/Answers
- Discussion
- Case Study
|
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| Assessment Methods and Criteria |
|
Quantity |
Percentage (%) |
| Mid-term |
1 |
40 |
| Total(%) |
|
40 |
| Contribution of In-term Studies to Overall Grade(%) |
|
40 |
| Contribution of Final Examination to Overall Grade(%) |
|
60 |
| Total(%) |
|
100 |
|
| ECTS Allocated Based on Student Workload |
| Activities |
Quantity |
Duration (Hour) |
Total Workload (Hour) |
| Midterm exam |
1 |
1 |
1 |
| Preparation for Quiz |
|
|
|
| Individual or group work |
14 |
3 |
42 |
| Preparation for Final exam |
1 |
18 |
18 |
| Course hours |
14 |
2 |
28 |
| Preparation for Midterm exam |
1 |
16 |
16 |
| Laboratory (including preparation) |
14 |
1 |
14 |
| Final exam |
1 |
1 |
1 |
| Homework |
|
|
|
| Total Work Load | 120 |
| Total Work Load / 30 (h) | 4 |
| ECTS Credit of the Course | 4 |
|
| Language of Instruction | English |
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| Work Placement(s) | No |
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