LAW
Bachelor	TR-NQF-HE: Level 6	QF-EHEA: First Cycle	EQF-LLL: Level 6

Course Introduction and Application Information

Course Code	Course Name	Semester	Theoretical	Practical	Credit	ECTS
LAW3018	Artificial Intelligence and Law	Fall	0	2	1	4

This catalog is for information purposes. Course status is determined by the relevant department at the beginning of semester.

Basic information

Language of instruction:	English
Type of course:	Departmental Elective
Course Level:	Bachelor’s Degree (First Cycle)
Mode of Delivery:	Hybrid
Course Coordinator :	Dr. Öğr. Üyesi MEHMET SİNAN ALTUNÇ
Course Objectives:	The aim of this course is to teach the relationship between artificial intelligence (AI) and law, especially to law and engineering students. Students will learn basic artificial intelligence approaches and how they are applied. Students approach AI in society and designing society with AI, learning algorithms and discrimination arising in this context, ethical discussions, basic legal rights, privacy discussions, regulations expected to be created by the use of AI in autonomous and health applications, evaluation of the intellectual property in the age of AI. They will learn about the relationship between cybersecurity and law conceptually. In addition, a discussion environment will be created by examining sample cases. Sometimes national and international guests from various disciplines will be invited to the lecture to reinforce learning.

Learning Outcomes

The students who have succeeded in this course;
Understanding the achievements of artificial intelligence from the past to the present, its usage areas, the relationship between artificial intelligence and law and creating a future perspective
Understanding and applying basic artificial intelligence approaches, working principles, needs and the points of application
Understanding the impact and ethical dimension of artificial intelligence technologies on society and social life.
Understanding the concepts of artificial intelligence, big data and privacy, and their legal evaluation.
Understanding global legal regulations in autonomous driving, health and other challenging areas.
Understanding the concept of cyber security and legal approaches.
Application of interdisciplinary and multidisciplinary work in the field of artificial intelligence and law.

Course Content

Weekly Detailed Course Contents

Week	Subject	Related Preparation
1)	Introduction, Getting Acquainted, Speaking on Course Contents
2)	Introduction to Artificial Intelligence and Law - Historical Process and Artificial Intelligence Concepts - Artificial Intelligence Usage Areas - The Relationship Between Artificial Intelligence and Law
3)	Artificial Intelligence and Society - Cultural and Sociological Approach to Artificial Intelligence - Designing Society For / With Artificial Intelligence
4)	Learning Algorithms and Ethics -Needs of artificial intelligence algorithms: Data, Hardware, Communication - Ethics by Design, Ethics by Default -Profiling and Automatic Decision Making - Misleading applications such as Deepfake -Reliable Artificial Intelligence and EU Approach
5)	Challenges and Gaps in Artificial Intelligence in Law a. Artificial Intelligence in the Context of Fundamental Rights - Human Rights, Artificial Intelligence and Democracy - Artificial Intelligence Systems, Data and Bias - Reliable and Explained Artificial Intelligence Concepts
6)	b. Privacy Discussions - Artificial Intelligence Systems and Personal Data - Privacy in Personalization, IoT and Artificial Intelligence applications - Workplace Practices and Uses in the Public Domain
7)	c. Personality and Legal Liability -Philosophy vs Law -Discussions on Personality and Legal Perspective in Artificial Intelligence -Contract and Tort Responsibility in Artificial Intelligence
8)	d. Artificial Intelligence and Criminal Law-1 - Artificial Intelligence and Criminal Liability - The Element of Will in Artificial Intelligence: Intent-Possible Intent-Negligence Discussions - Adversarial Machine Learning Methods and Artificial Intelligence as an Offensive Weapon
9)	e. Artificial Intelligence and Criminal Law-2 - Criminal Justice and Yapay Zeka - The Usage of AI in the Law Enforcement Activities - Profilling and ADM in the Law Enforcement Justice
10)	f. Autonomous Driving: The Regulation Challenge Artificial intelligence technologies for autonomous driving: Computer vision, Reinforcement learning, sensor technologies - Discussions: Advantages and Risks - Case Study.
11)	g. Automation in Healthcare - Artificial intelligence usage areas and approaches in the field of health -Personal Care Robots For Consumers Use of Robotic Technology and Responsibility for Healthcare Professionals
12)	h. Intellectual Property in the Age of Artificial Intelligence - Generative artificial intelligence approaches and usage areas - Intellectual Property Right of Artificial Intelligence or Developer? - What Do International Organizations Say? -Possible Developments and Possible Solutions
13)	i. Cyber security - The Concept of Cyber Security and ""Managing Cyber Space"" The Role of Artificial Intelligence in the Context of Cyber Security and Cyber Diplomacy -Regulation and Cyber Security: Tough Law and Soft Law Tools of TR, EU and NATO
14)	Paper presentations

Sources

Course Notes / Textbooks:

1. Makale: Ronald Leenes - Laws on Robots, Laws by Robots, Laws in Robots: Regulating Robot Behaviour by Design
2. Rapor: European Parliament - European Civil Law Rules in Robotics
3. Rapor: ICO - Big data, artificial intelligence, machine learning and data protection
4. Makale: Sophia Duff & Jamie Hopkins - Sit, Stay, Drive: The Future of Autonomous Car Liability
5. Rapor: European Commision - AI and IP Report
6. Kitap: Yapay Zekâ Geçmişi Geleceği, Nils Nilsson
7. Kitap: 50 Soruda Yapay Zeka, Cem Say
8. Kitap: Derin Öğrenme, Ian Goodfellow et all.

1. Paper Ronald Leenes - Laws on Robots, Laws by Robots, Laws in Robots: Regulating Robot Behaviour by Design
2. Raport: European Parliament - European Civil Law Rules in Robotics
3. Raport: ICO - Big data, artificial intelligence, machine learning and data protection
4. Paper: Sophia Duff & Jamie Hopkins - Sit, Stay, Drive: The Future of Autonomous Car Liability
5. Raport: European Commision - AI and IP Report
6. Book: A Brief History of AI, Nils Nilsson (English/Turkish)
7. Book: 50 Soruda Yapay Zeka, Cem Say (Turkish)
8. Book: Deep Learning Book, Ian Goodfellow, at all. (English)

References:

Evaluation System

Semester Requirements	Number of Activities	Level of Contribution
Homework Assignments	2	% 20
Project	1	% 20
Midterms	1	% 20
Final	1	% 40
Total		% 100
PERCENTAGE OF SEMESTER WORK		% 40
PERCENTAGE OF FINAL WORK		% 60
Total		% 100

ECTS / Workload Table

Activities	Number of Activities	Duration (Hours)	Workload
Course Hours	14	2	28
Study Hours Out of Class	14	4	56
Project	1	2	2
Homework Assignments	2	4	8
Midterms	1	2	2
Final	1	2	2
Total Workload			98

Contribution of Learning Outcomes to Programme Outcomes

No Effect	1 Lowest	2 Low	3 Average	4 High	5 Highest

	Program Outcomes	Level of Contribution
1)	List the relations between concepts and institutions related to various legal disciplines and this concepts and institutions.
2)	Have the knowledge of legal methodology and methods of comment.
3)	Comment the modern legal gains with the historical knowledge.
4)	Have the knowledge of philosophical currents of thought which are the bases of legal rules.
5)	Have the knowledge of legal regulations, judicial decisions and the scientific evaluations related to them.
6)	Resolve the juridical disagreements in light of legal acts, juridical decisions and doctrine.
7)	Use at least one foreign language as scientific language.
8)	Have the knowledge of the political and juridical foundation of the state.
9)	Have the knowledge of the historical development of the rights of individuals and societies and of the basic documents which are accepted throughout this development.
10)	Have the ability to resolve the disagreements which can violate the social order in national or international level.
11)	Have the ability to prevent the juridical disagreements between individuals.
12)	Have the knowledge of international and comparative law systems.
13)	Have the knowledge of the construction and the conduct of the national and international commercial relations.
14)	Use Turkish in an efficient way both verbal and written.
15)	Have the professional and ethical responsibility.
16)	Have the knowledge on the European Union’s legislation and institutions.
17)	Have the knowledge on juridical regulations and applications related to economical and financial mechanisms.
18)	Have the knowledge of the operation of the national and the international judicial bodies.