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Information
| Unit | FACULTY OF LAW |
| LAW PR. | |
| Code | HKU208 |
| Name | Artificial intelligence and administrative law |
| Term | 2026-2027 Academic Year |
| Semester | 4. Semester |
| Duration (T+A) | 3-0 (T-A) (17 Week) |
| ECTS | 4 ECTS |
| National Credit | 3 National Credit |
| Teaching Language | Türkçe |
| Level | Belirsiz |
| Type | Normal |
| Label | E Elective |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator | Dr. Öğr. Üyesi Yasin SÖNMEZ |
| Course Instructor |
The current term course schedule has not been prepared yet.
|
Course Goal / Objective
The aim of this course is to examine, in general terms, the concept of artificial intelligence, the transformation it brings to administrative law, and the issues it may potentially cause, within the framework of the principles and rules of administrative law. It is also intended that students develop the ability to analyze and resolve the problems arising in this interdisciplinary field from a legal perspective.
Course Content
The course mainly addresses the following topics in broad terms: the concept of artificial intelligence; the fundamental principles and rules of administrative law; the use of artificial intelligence in the establishment of administrative acts; the digitalization of public services and the role of artificial intelligence; the use of artificial intelligence in law enforcement activities; and the use of artificial intelligence and the liability of the administration.
Course Precondition
There are no prerequisites for the course.
Resources
1) Ahmet YAYLA, İdare Hukuku Bakımından Yapay Zekâ, Seçkin Yayıncılık, 2023. 2) Serkan SEYHAN, Yapay Zekâ Teknolojileri Kapsamında İdarenin Sorumluluğu, On İki Levha Yayıncılık, 2023.
Notes
1) Ali ULUSOY, Türk İdare Hukuku, Yetkin Yayınevi, 2025. 2) Bahtiyar AKYILMAZ/Murat SEZGİNER/Cemil KAYA, İdare Hukuku, Seçkin Yayıncılık, 2026. 3)Onur KAPLAN, ‘İdari Kolluk Faaliyetlerinde Dijital Dönüşümün Etkileri ve Sınırları: İki Artı İki Beş Eder Mi?’ (2025) 7 (1) Bilişim Hukuku Dergisi.
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Evaluates fundamental concepts such as artificial intelligence, machine learning, deep learning, algorithmic decision-making, and robotics from the perspective of administrative law principles. |
| LO02 | Gains a general perspective on how public administrations make use of artificial intelligence. |
| LO03 | Understands the advantages provided by artificial intelligence in the digitalization process of administration, as well as the potential problems it may cause. |
| LO04 | Analyzes algorithmic decision-making processes from the perspective of the theory of administrative acts. |
| LO05 | Examines the liability of the administration in terms of risks such as algorithmic bias and discrimination. |
| LO06 | Questions the limits of delegating the administration’s discretionary power to algorithms. |
| LO07 | Develops an understanding of what the general principles of an ideal legal framework should be regarding the use of artificial intelligence by the administration, in light of ethical principles and legal norms. |
| LO08 | Conducts academic literature reviews on the relationship between artificial intelligence and administrative law. |
Relation with Program Learning Outcome
| Order | Type | Program Learning Outcomes | Level |
|---|---|---|---|
| PLO01 | Bilgi - Kuramsal, Olgusal | Explains the fundamental concepts and principles of law. | 5 |
| PLO02 | Bilgi - Kuramsal, Olgusal | Identifies legal problems. | 5 |
| PLO03 | Beceriler - Bilişsel, Uygulamalı | Comprehends the research, analysis and interpretation methods of legal science. | |
| PLO04 | Beceriler - Bilişsel, Uygulamalı | Recognizes the historical and sociological development process of law and legal norms. | |
| PLO05 | Beceriler - Bilişsel, Uygulamalı | Evaluates the fundamental legal disciplines and their contents (legal regulations in every field, decisions of judicial bodies and scientific evaluations) by using scientific methods and techniques. | |
| PLO06 | Beceriler - Bilişsel, Uygulamalı | Uses appropriate legal interpretation methods in order to find solutions to the identified legal problems. | |
| PLO07 | Beceriler - Bilişsel, Uygulamalı | Solves the legal problems encountered by using the knowledge has acquired | 4 |
| PLO08 | Beceriler - Bilişsel, Uygulamalı | Exposes the solutions to legal problems separately in terms of de lege lata and de lege ferenda law. | |
| PLO09 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Takes responsibility as a member of the team to develop solutions to problems encountered in legal practice. | |
| PLO10 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Be sensitive to social and legal problems with a sense of social responsibility. | 4 |
| PLO11 | Yetkinlikler - Öğrenme Yetkinliği | By gaining self-learning skills, evaluates the information which has learned with a critical approach. | |
| PLO12 | Yetkinlikler - İletişim ve Sosyal Yetkinlik | Uses technical legal knowledge in both Turkish and English verbally or in writing. | |
| PLO13 | Yetkinlikler - İletişim ve Sosyal Yetkinlik | Convincingly conveys her/his personal opinion and assessment on a particular legal issue, either orally or in writing. | |
| PLO14 | Yetkinlikler - İletişim ve Sosyal Yetkinlik | Uses information and communication technologies related to law effectively. | |
| PLO15 | Yetkinlikler - Alana Özgü Yetkinlik | Internalizes the understanding of honesty, justice and ethics required by being a lawyer in line with the principles of universal law. | |
| PLO16 | Yetkinlikler - Alana Özgü Yetkinlik | Follows the legal developments at national and international. | |
| PLO17 | Yetkinlikler - Alana Özgü Yetkinlik | Adopts a democratic, secular and social state of law. |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Introduction: Definition of the concept of artificial intelligence | Reading of the relevant works | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma |
| 2 | Artificial intelligence and digital transformation in public services | Reading of the relevant works | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma |
| 3 | Use of artificial intelligence systems by the administration | Reading of the relevant works | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma |
| 4 | Artificial intelligence and law enforcement | Reading of the relevant works | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma |
| 5 | Use of artificial intelligence in the establishment of administrative acts | Reading of the relevant works | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma |
| 6 | Algorithmic Decision-Making: The competence element of administrative acts | Reading of the relevant works | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma |
| 7 | Algorithmic Decision-Making: The form element of administrative acts | Reading of the relevant works | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma |
| 8 | Mid-Term Exam | Reading of the relevant works | Ölçme Yöntemleri: Yazılı Sınav |
| 9 | Algorithmic Decision-Making: The cause element of administrative acts | Reading of the relevant works | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma |
| 10 | Algorithmic Decision-Making: The subject element of administrative acts | Reading of the relevant works | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma |
| 11 | Algorithmic Decision-Making: The purpose element of administrative acts | Reading of the relevant works | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma |
| 12 | Use of artificial intelligence systems and administrative liability – causal link | Reading of the relevant works | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma |
| 13 | Use of artificial intelligence systems and administrative liability – service fault | Reading of the relevant works | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma |
| 14 | Use of artificial intelligence systems and administrative liability – liability without fault | Reading of the relevant works | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma |
| 15 | General Evaluation | Reading of the relevant works | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma, Beyin Fırtınası, Örnek Olay |
| 16 | Term Exams | Reading of the relevant works | Ölçme Yöntemleri: Yazılı Sınav |
| 17 | Term Exams | Reading of the relevant works | Ölçme Yöntemleri: Yazılı Sınav |
Student Workload - ECTS
| Works | Number | Time (Hour) | Workload (Hour) |
|---|---|---|---|
| Course Related Works | |||
| Class Time (Exam weeks are excluded) | 14 | 3 | 42 |
| Out of Class Study (Preliminary Work, Practice) | 14 | 2 | 28 |
| Assesment Related Works | |||
| Homeworks, Projects, Others | 0 | 0 | 0 |
| Mid-term Exams (Written, Oral, etc.) | 1 | 15 | 15 |
| Final Exam | 1 | 25 | 25 |
| Total Workload (Hour) | 110 | ||
| Total Workload / 25 (h) | 4,40 | ||
| ECTS | 4 ECTS | ||