Course Information
SemesterCourse Unit CodeCourse Unit TitleT+P+LCreditNumber of ECTS CreditsLast Updated Date
3MBH015Artificial Intelligence and Criminal Law2+0+02223.10.2026
Course Details
Language of Instruction Turkish
Level of Course Unit Associate Degree
Department / Program Court Office Services
Type of Program Formal Education
Type of Course Unit Elective
Course Delivery Method Face To Face
Objectives of the Course The aim of this course is to examine the impact of artificial intelligence technologies on criminal law at both conceptual and practical levels. The course will address the role of artificial intelligence in the commission, detection, and investigation of crimes, its implications for criminal liability, and its use in judicial proceedings. In addition, the ethical aspects of artificial intelligence, data protection law, and human rights dimensions will be discussed, and the new challenges posed by technological developments in the field of criminal law, along with proposed solutions, will be evaluated.
Course Content Introduction to Artificial Intelligence and Its Legal Dimensions: The concept and types of artificial intelligence and its relationship with law

Artificial Intelligence Applications in Criminal Law: The role of artificial intelligence in crime prevention, crime detection, and investigation processes

Criminal Liability and Artificial Intelligence: Criminal liability of autonomous systems and debates concerning perpetrators and responsibility

AI-Assisted Judicial Proceedings: Smart judicial systems, AI-based decision-making, and the right to a fair trial

Artificial Intelligence, Data Protection, and Privacy: Big data analytics, surveillance technologies, and the protection of personal data

Artificial Intelligence Ethics and Human Rights: Algorithmic discrimination, biased decisions, and principles of justice

Future Perspectives: The development of artificial intelligence in the field of criminal law and regulatory approaches
Course Methods and Techniques
Prerequisites and co-requisities None
Course Coordinator None
Name of Lecturers Instructor MELİHA TOPRAKÇI
Assistants None
Work Placement(s) No

Recommended or Required Reading
Resources Abanoz Öztürk, B. (2024). Yapay Zeka ve Ceza Hukuku Uygulama Kitabı. Ankara: On İki Levha Yayıncılık.

Course Category
Social Sciences %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
Mid-terms 1 % 40
Final examination 1 % 60
Total
2
% 100

 
ECTS Allocated Based on Student Workload
Activities Quantity Duration Total Work Load
Course Duration 14 2 28
Hours for off-the-c.r.stud 23 2 46
Mid-terms 1 1 1
Final examination 1 1 1
Total Work Load   Number of ECTS Credits 2,5 76

 
Course Learning Outcomes: Upon the successful completion of this course, students will be able to:
NoLearning Outcomes
1 Understands the relationship between artificial intelligence and criminal law: Analyzes the impact of artificial intelligence technologies on criminal law at both theoretical and practical levels.
2 Evaluates artificial intelligence in the context of criminal liability: Provides legal analysis of the criminal liability of autonomous systems and their potential to commit crimes.
3 Discusses the use of artificial intelligence in judicial proceedings: Analyzes how artificial intelligence is used in crime prevention, detection, investigation, and adjudication processes, as well as the legal issues arising from its use.

 
Weekly Detailed Course Contents
WeekTopicsStudy MaterialsMaterials
1 Introduction to Artificial Intelligence and Its Relationship with Criminal Law Preliminary Readings on the Topics
2 Fundamental Principles of Criminal Law and Artificial Intelligence Applications Preliminary Readings on the Topics
3 The Principle of Culpability in Criminal Law and Artificial Intelligence Models Preliminary Readings on the Topics
4 Artificial Intelligence and Criminal Liability: Concepts of Perpetrator, Instrument, and Victim Preliminary Readings on the Topics
5 The Use of Artificial Intelligence in the Justice System: AI in Judicial and Prosecutorial Decision-Making Preliminary Readings on the Topics
6 Algorithmic Decision-Making: Issues of Discrimination and Unlawfulness Preliminary Readings on the Topics
7 AI-Assisted Law Enforcement Activities and Crime Prevention Techniques Preliminary Readings on the Topics
8 ARA SINAV HAFTASI (VİZE)
9 Autonomous Systems and Criminal Liability: The Example of Autonomous Vehicles Preliminary Readings on the Topics
10 International Regulations: The EU Artificial Intelligence Act and Criminal Law Preliminary Readings on the Topics
11 Privacy and Surveillance Technologies: AI-Based Monitoring of Society Preliminary Readings on the Topics
12 AI-Assisted Weapon Systems and Their Relationship with the Law of Armed Conflict Preliminary Readings on the Topics
13 Artificial Intelligence Ethics and Legal Boundaries in Criminal Law Preliminary Readings on the Topics
14 Artificial Intelligence, Fabricated Evidence, and Digital Manipulation Preliminary Readings on the Topics
15 Specific Issues Concerning Artificial Intelligence Preliminary Readings on the Topics

 
Contribution of Learning Outcomes to Programme Outcomes
P1 P2 P3 P4 P5 P6 P7
C1 4 4
C2 5 4 5
C3 5 3

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