Information Package / Course Catalogue
Artificial Intelligence and Ethics
Course Code: İLT314
Course Type: Area Elective
Couse Group: First Cycle (Bachelor's Degree)
Education Language: Turkish
Work Placement: N/A
Theory: 3
Prt.: 0
Credit: 3
Lab: 0
ECTS: 5
Objectives of the Course

The objective of this course is to enable students to analyze the ethical, legal, and social implications of artificial intelligence technologies in the media, cinema, and communication sectors from a macro and critical perspective. By discussing theoretical concepts such as the philosophy of copyright, digital labor, the epistemology of disinformation, deepfakes and ontological security, algorithmic biases, and the future of human creativity in artistic production, the course aims to cultivate media professionals capable of evaluating structural transformations with ethical responsibility and intellectual depth.

Course Content

This course examines the ethical dilemmas, legal regulations, and socio-cultural impacts emerging from the use of artificial intelligence in communication and cinema on a theoretical level. Throughout the semester, ownership rights in creative industries, the relationship between AI and mass manipulation, the impacts of deepfake technology on journalism and film in the post-truth era, and the ideological role of algorithms will be addressed through current case studies and theoretical texts. Students will learn to critically evaluate the power of AI in shaping social perception in light of mass communication theories.

Name of Lecturer(s)
Learning Outcomes
1.Explains the fundamental ethical theories, philosophical approaches, and global legal regulations emerging in the development of artificial intelligence technologies.
2.Analyzes the socio-cultural impacts and transformative role of artificial intelligence applications on media, culture, and mass communication with a critical approach.
3.Structurally evaluates ideological filters, as well as gender etc. baisis, produced by artificial intelligence models and algorithmic systems in content generation.
4.Theoretically analyzes cases of deepfakes, dezenformation, copyright infringements, and digital labor violations arising from the use of AI in the media sector through current case studies.
5.Develops a theoretical solution strategy for an AI crisis or ethical dilemma in the field of communication and cinema, in accordance with academic norms and human-centered communication principles.
Recommended or Required Reading
1.Eşitti, Ş., & Çoban, S. (Ed.). (2024). Yapay zekâ çağında medya, kültür ve iletişim üzerine güncel araştırmalar. PA Paradigma Akademi Yayınları. ISBN: 978-625-5972-12-5.
2.Köse, U. (Ed.). (2021). Yapay zekâ etiği (1. Basım). Nobel Akademik Yayıncılık. ISBN: 978-625-439-633-5.
Weekly Detailed Course Contents
Week 1 - Theoretical
Introduction to the philosophy of technology and AI ethics: Conceptual and ethical turning points in the communication world.
Week 2 - Theoretical
Philosophy of intellectual property and copyrights: The legal dimension of AI training data and redefining the concept of the "creator."
Week 3 - Theoretical
Digital labor, artist, and actor rights: Digital twins and the ontological boundaries of voice/facial cloning along the axis of Hollywood strikes.
Week 4 - Theoretical
Digital manipulation and the crisis of visual representation: The production of reality from photographic and cinematic history to the present, and the role of AI.
Week 5 - Theoretical
Deepfake technology and ethical consent in cinema: Digitally resurrecting historical figures and "post-mortem digital estate" rights.
Week 6 - Theoretical
Epistemological crisis and disinformation: The impacts of AI-driven fake content on mass communication in the post-truth era.
Week 7 - Theoretical
Algorithmic bias, discrimination, and representation justice: The hegemonic structure of AI models regarding gender, race, and culture.
Week 8 - Theoretical
Large language models, ideology, and censorship: Analyzing political, cultural, and ideological filters in AI-generated texts (scripts, news).
Week 9 - Theoretical
Social media algorithms and echo chambers: The unethical steering of mass consumption, viewing, and selection habits by AI.
Week 10 - Theoretical
Data privacy, surveillance capitalism, and consent: The implications of processing user data by AI systems within media ethics.
Week 11 - Theoretical
Global AI policies and law: The theoretical impact of the EU AI Act and similar legal regulations on the media sector.
Week 12 - Theoretical
Audience psychology and synthetic media in the AI era: Emotional bonds that humans form with AI-generated characters and content.
Week 13 - Theoretical
"Human-Centered" media theories: Examining ethical manifestos that protect human creativity and intellectual labor without excluding AI.
Week 14 - Theoretical
Ethical case studies and article discussions: Analyzing a real-world AI-media crisis in the industry using theoretical frameworks.
Assessment Methods and Criteria
Type of AssessmentCountPercent
Attending Lectures5%5
Quiz1%10
Midterm Examination1%25
Final Examination1%60
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory141356
Reading50315
Quiz1000
Midterm Examination122123
Final Examination130131
TOTAL WORKLOAD (hours)125
Contribution of Learning Outcomes to Programme Outcomes
PÇ-1
PÇ-2
PÇ-3
PÇ-4
PÇ-5
PÇ-6
PÇ-7
PÇ-8
PÇ-9
PÇ-10
PÇ-11
PÇ-12
PÇ-13
OÇ-1
4
5
4
3
OÇ-2
4
5
4
4
4
OÇ-3
5
5
5
5
OÇ-4
4
4
5
4
5
5
OÇ-5
5
4
5
4
Adnan Menderes University - Information Package / Course Catalogue
2026