1. FIRST CYCLE - BACHELOR'S DEGREE
  2. FACULTY OF EDUCATION
  3. FOREIGN LANGUAGE EDUCATION DEPARTMENT
  4. 131 ENGLISH LANGUAGE TEACHING
Course Information Course Learning Outcomes Course's Contribution To Program ECTS Workload Course Details
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COURSE INFORMATION
Course CodeCourse TitleL+P HourSemesterECTS
GKD 5029CRITICAL PERSPECTIVES ON AI: ETHICS, SOCIETY, AND EU POLICIES2 + 05th Semester3

COURSE DESCRIPTION
Course Level Bachelor's Degree
Course Type Elective
Course Objective This course aims to provide students with a critical understanding of the ethical, social, and legal implications of artificial intelligence (AI) technologies, with a particular emphasis on the European Union's (EU) approach and policies. Students will explore the fundamental concepts of AI, data sharing norms, and the General Data Protection Regulation (GDPR). They will analyze the EU's guidelines on AI ethics, focusing on issues such as privacy, transparency, explainability, fairness, bias, and discrimination. The course will also examine the European AI regulations, including the AI Act, and their implications for various sectors. Additionally, students will delve into the potential impacts of AI on democracy, human rights, and the rule of law within the European context. Through this course, students will develop the ability to critically evaluate AI projects, assess societal impacts, and apply ethical principles in the development and implementation of AI solutions.
Course Content Week 1-2: Introduction and Basic Concepts Week 3-4: Data Sharing Norms and GDPR Week 5-6: The EU Approach to AI Ethics: Privacy, Transparency, Explainability, Fairness, Bias, and Discrimination Week 7-8: European AI Regulations Week 9-10: AI, Democracy, and Human Rights in the European Context Week 11: Review of EU Projects on Societal Impacts and Ethics of AI and Project Creation Brainstorming Week 12-13: Project Development and Mentoring Week 14: Project Presentations and Evaluations
Prerequisites No the prerequisite of lesson.
Corequisite No the corequisite of lesson.

COURSE LEARNING OUTCOMES
1Analyze the ethical principles and guidelines proposed by the European Union for the development and deployment of trustworthy artificial intelligence systems.
2Critically evaluate the potential societal impacts, risks, and challenges associated with the implementation of AI technologies in various sectors, with a focus on issues such as privacy, transparency, fairness, and accountability.
3Examine the European Union's regulatory framework for artificial intelligence, including the AI Act, and its implications for different stakeholders and industries.
4Assess the intersection of artificial intelligence, democracy, and human rights within the European context, and explore strategies to mitigate potential threats and promote responsible AI development.
5Develop and present a research project that addresses a specific ethical or societal aspect of AI, demonstrating the ability to apply relevant concepts, frameworks, and methodologies studied throughout the course.

COURSE'S CONTRIBUTION TO PROGRAM
PO 01PO 02PO 03PO 04PO 05PO 06PO 07PO 08PO 09PO 10PO 11PO 12PO 13PO 14PO 15PO 16PO 17PO 18PO 19PO 20PO 21PO 22PO 23PO 24
LO 003               55 555   
LO 004               55 555   
Sub Total               1010 101010   
Contribution000000000000000220222000

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION
ActivitiesQuantityDuration (Hour)Total Work Load (Hour)
Course Duration (14 weeks/theoric+practical)14228
Hours for off-the-classroom study (Pre-study, practice)14228
Assignments166
Final examination188
Midterm188
Total Work Load

ECTS Credit of the Course





78

3
COURSE DETAILS
 Select Year   


 Course TermNoInstructors
Details 2025-2026 Spring1HÜSEYİN ÖZÇINAR


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Course Details
Course Code Course Title L+P Hour Course Code Language Of Instruction Course Semester Mode of Delivery
GKD 5029 CRITICAL PERSPECTIVES ON AI: ETHICS, SOCIETY, AND EU POLICIES 2 + 0 1 Turkish 2025-2026 Spring Face to Face
Course Coordinator  E-Mail  Phone Number  Course Location Attendance
Prof. Dr. HÜSEYİN ÖZÇINAR hozcinar@pau.edu.tr EGT A0432-14 %
Goals This course aims to provide students with a critical understanding of the ethical, social, and legal implications of artificial intelligence (AI) technologies, with a particular emphasis on the European Union's (EU) approach and policies. Students will explore the fundamental concepts of AI, data sharing norms, and the General Data Protection Regulation (GDPR). They will analyze the EU's guidelines on AI ethics, focusing on issues such as privacy, transparency, explainability, fairness, bias, and discrimination. The course will also examine the European AI regulations, including the AI Act, and their implications for various sectors. Additionally, students will delve into the potential impacts of AI on democracy, human rights, and the rule of law within the European context. Through this course, students will develop the ability to critically evaluate AI projects, assess societal impacts, and apply ethical principles in the development and implementation of AI solutions.
Content Week 1-2: Introduction and Basic Concepts Week 3-4: Data Sharing Norms and GDPR Week 5-6: The EU Approach to AI Ethics: Privacy, Transparency, Explainability, Fairness, Bias, and Discrimination Week 7-8: European AI Regulations Week 9-10: AI, Democracy, and Human Rights in the European Context Week 11: Review of EU Projects on Societal Impacts and Ethics of AI and Project Creation Brainstorming Week 12-13: Project Development and Mentoring Week 14: Project Presentations and Evaluations
Topics
WeeksTopics
1 Course introduction, scope of the course and assessment methods. Introduction to artificial intelligence, historical development of AI and current applications.
2 Core concepts of artificial intelligence: data, algorithms and models. Introduction to machine learning and deep learning. Basic working principles of AI systems.
3 Data ecosystem and data governance. Open data, data sharing norms and introduction to the European data strategy.
4 General Data Protection Regulation (GDPR): key principles, personal data concept, data protection mechanisms and its relation to artificial intelligence.
5 The European Union approach to trustworthy AI. Introduction to AI ethics and ethical frameworks.
6 Key issues in AI ethics: privacy, transparency, explainability, fairness, bias and discrimination.
7 Introduction to the European Artificial Intelligence Act (AI Act) and regulatory approaches to AI in Europe.
8 Risk-based regulatory approach, high-risk AI systems and sectoral impacts of AI regulation.
9 Artificial intelligence and democracy in the European context. Algorithmic governance and the digital public sphere.
10 Artificial intelligence, human rights and the rule of law. Surveillance technologies and digital rights.
11 Review of EU-funded projects on AI ethics and societal impact. Project idea generation and brainstorming.
12 Development of student project ideas, structuring project design and mentoring process.
13 Continuation of project development, preparation of project outputs and presentations.
14 Student project presentations and evaluation of projects in terms of ethical, societal and policy impacts.
Materials
Materials are not specified.
Resources
Course Assessment
Assesment MethodsPercentage (%)Assesment Methods Title
Final Exam50Final Exam
Midterm Exam50Midterm Exam
L+P: Lecture and Practice
PQ: Program Learning Outcomes
LO: Course Learning Outcomes