Course Information
SemesterCourse Unit CodeCourse Unit TitleT+P+LCreditNumber of ECTS CreditsLast Updated Date
2HUK 544Yapay Zekânın İş Hukukuna Etkileri3+0+03827.10.2025
Course Details
Language of Instruction Turkish
Level of Course Unit Master's Degree
Department / Program LLM Program in Private Law (Thesis) (Turkish)
Type of Program Formal Education
Type of Course Unit Elective
Course Delivery Method Face To Face
Objectives of the Course This course aims to examine the impact of artificial intelligence technologies on labor law by analyzing the changes in working conditions, how the rights and obligations of employers and employees are affected by artificial intelligence, and how existing legal regulations adapt—or could adapt—to these emerging technologies.
Course Content This course explores the impact of artificial intelligence technologies on the field of labor law. It focuses on the transformations in working conditions, the changes in the rights and obligations of employers and employees, and how current legal frameworks respond to these technologies. The aim is to assess the legal challenges posed by the use of artificial intelligence in employment relationships and to evaluate potential solutions.
Course Methods and Techniques In this course, the impact of artificial intelligence technologies on labor law will be examined through comparative legal analysis, normative evaluation, and case studies. Relevant legislation, secondary regulations, and judicial decisions will first be analyzed, followed by an assessment of how AI applications affect employment relationships through concrete examples. Regulations from the European Union, Turkey, and selected other jurisdictions will be compared to establish a comparative framework. To enable students to keep pace with current developments, academic literature reviews, thematic presentations, and interactive discussion sessions will be employed. In this way, the course aims to enhance students’ ability to apply theoretical knowledge to practical contexts.
Prerequisites and co-requisities None
Course Coordinator None
Name of Lecturers Prof.Dr. Yeliz Bozkurt Gümrükçüoğlu
Assistants Research Assist. Abdülmecit Güldağı
Work Placement(s) No

Recommended or Required Reading
Resources Başak Ozan Özparlak, The Use of Artificial Intelligence Systems in Employment Relationships in the Age of Big Data: A Legal Assessment, Istanbul, 2021.
Yiğitcan Çankaya, The Effects of Artificial Intelligence on Employment Relationships, Istanbul, 2024.
Prof. Dr. Saim Ocak (Editor), Digital Labor Law Practices, Ankara, 2024. Additional course materials and readings will be provided throughout the course.
Additional course materials and readings will be provided throughout the course.
Course Notes Lecture notes are shared with students through the Canvas system.
Documents .
Assignments .
Exams .

Course Category
Social Sciences %100
Field %100

Planned Learning Activities and Teaching Methods
Activities are given in detail in the section of "Assessment Methods and Criteria" and "Workload Calculation"

Assessment Methods and Criteria
In-Term Studies Quantity Percentage
Assignment 1 % 60
Attendance 1 % 10
Final examination 1 % 30
Total
3
% 100

 
ECTS Allocated Based on Student Workload
Activities Quantity Duration Total Work Load
Course Duration 14 3 42
Hours for off-the-c.r.stud 14 6 84
Assignments 1 45 45
Presentation 1 30 30
Final examination 1 40 40
Total Work Load   Number of ECTS Credits 8 241

 
Course Learning Outcomes: Upon the successful completion of this course, students will be able to:
NoLearning Outcomes
1 They will be able to critically assess the extent to which existing labor law regulations respond to artificial intelligence technologies.
2 * They will be able to analyze the risks of artificial intelligence in areas such as discrimination, job security, occupational health and safety, and the protection of personal data, and develop new solution proposals accordingly.
3 * They will be able to analyze the approaches of different countries by comparing international legal regulations.
4 * They will be able to develop legal regulations and solution proposals for Turkey by making use of comparative law.

 
Weekly Detailed Course Contents
WeekTopicsStudy MaterialsMaterials
1 The General Relationship Between Labor Law and Artificial Intelligence Preparation: Students should familiarize themselves with the connection between digital transformation and labor law, focusing on how AI technologies influence modern employment models. Metin, B. (2022). Changing Employment Models in the Digitalized World. AHBVÜ Journal, 24(3), 917–950.
2 Legal Nature and Liability of Artificial Intelligence Students should study the legal personality and liability framework of AI entities. Kasap, A. (2022). Artificial Intelligence Entities and Legal Personality in Turkish Law.; Selanik, A. A. (2022). The Liability and Insurance of Artificial Intelligence Robots.
3 The Impact of Artificial Intelligence on the Labor Market Students should analyze the effects of AI on the labor market, including job displacement and creation. Sheıkhı, M. (2022). The Impact of Artificial Intelligence on the Labor Market.
4 Algorithmic Management in the Workplace Students should review how algorithmic management influences employer control and employee autonomy. Güzel, A., Ugan Çatalkaya, D., & Heper, H. (2023). The Encounter of Labor Law with Artificial Intelligence.
5 Artificial Intelligence in Recruitment and Algorithmic Discrimination Students should study algorithmic discrimination risks in AI-based recruitment. Bozkurt Gümrükçüoğlu, Y., & Yakacak, G. A. (2024). The Use of AI in Recruitment Processes and Algorithmic Discrimination.
6 Use of Artificial Intelligence During the Employment Relationship Students should examine AI's role in performance evaluation and productivity monitoring. Çankaya, Y. (2024). The Effects of Artificial Intelligence on Employment Relationships.
7 Artificial Intelligence and Termination of Employment Students should explore AI-assisted termination decisions and related legal safeguards. Çankaya, Y. (2024). The Effects of Artificial Intelligence on Employment Relationships.
8 Artificial Intelligence in the Workplace and Data Protection Students should analyze workplace AI monitoring tools under data protection frameworks. Büyüksağiş, E. (2021). Protection of Personal Data and the Need for Revision in the Face of AI.; Çankaya, Y. (2024). Algorithmic Management and Employee Surveillance.
9 Artificial Intelligence and Occupational Health and Safety Students should evaluate AI's contribution to occupational safety and risk prevention. Çankaya, Y. (2024). The Effects of Artificial Intelligence on Employment Relationships.
10 Collective Labor Law and Artificial Intelligence Students should study the impact of AI on collective bargaining and union rights. Oral, T. (2024). Algorithmic Management and Trade Unions in Digital Labor Platforms.
11 Project Presentations and Discussions Students should finalize and present their research projects and actively participate in discussions. Student-selected academic and comparative law sources.
12 Project Presentations and Discussions Students should finalize and present their research projects and actively participate in discussions. Student-selected academic and comparative law sources.
13 Project Presentations and Discussions Students should finalize and present their research projects and actively participate in discussions. Student-selected academic and comparative law sources.
14 Project Presentations and Discussions Students should finalize and present their research projects and actively participate in discussions. Student-selected academic and comparative law sources.

 
Contribution of Learning Outcomes to Programme Outcomes
P1 P2 P3 P4 P5 P6 P7 P8 P9 P10 P11 P12 P13
C1 5 4 5 4 4 4 4 5 5 5 4 5 5
C2 5 5 4 5 5 5 4 5 5 5 5 5 5
C3 4 5 5 5 5 4 5 4 4 5 5 5 5
C4 5 5 3 5 4 4 5 5 5 5 5 5 5

  Contribution: 1: Very Slight 2:Slight 3:Moderate 4:Significant 5:Very Significant