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About the Programme Academic Staff Program Qualifications Lessons Matrix of Course & Program Qualifications Turkish Qualifications Framework (TQF) TQF & Program Qualifications
  1. Graduate School
  2. Department of Sociology
  3. Master of Arts (MA) in Sociology
  4. Course Structure Diagram with Credits
  5. Artificial Intelligence, Society and Transformation
  6. Description
  • Description
  • Learning Outcomes
  • ECTS Credit Load
  • Course's Contribution to Program
  • Learning Outcomes & Program Qualifications
Last Updated: 21/05/2026

Code - Course Title Course Type Laboratory + Practice ECTS
SOS581 - Artificial Intelligence, Society and Transformation I. SEMESTER 3 +0 6.0
Language of Instruction Türkçe
Course Type Elective Courses
Course Instructor(s) PROF. DR. EMRE GÖKALP
Mode of Delivery Face to face
Place of Delivery
Used Educational Platforms
Prerequisites There are no prerequisites for this course.
Courses Recomended -
Recommended Resources Airoldi, Massimo (2022) Machine Habitus. Toward a Sociology of AlgorithmsJoyce, Kelly & Taylor Cruz (2024) A Sociology of Artificial Intelligence: Inequalities, Power, and Data JusticeSchuilenburg, Marc & Rik Peeters (2021) The Algorithmic Society: Technology, Power, and Knowledge Graf, Alexis (2023) Yapay Zekâ. Dijital Hayalet, Ankara: Gece Kitaplığı.Reese, Byron (2020) Yapay Zekâ Çağı, İstanbul: Say Yayınları.Kücükcan, B ve Yıldırım, B. F. (2023) Yapay Zekâ: Disiplenlerarası Yaklaşımlar, İstanbul: Vakıfbank Kültür yayınlarıDyer-Witheford, N. A. Mikkola Kjøsen ve J. Steinhoff (2022) Yapay Zekâ ve Kapitalizmin Geleceği. İnsandışı Bir Güç, İstanbul: İletişim.Tegmark, M. (2017) Yaşam 3.0 Yapay Zekâ Çağında İnsan Olmak, İstanbul: Pegasus Yayınları, 2021.Acemoğlu, D. (2022) Yapay Zekâyı Yeniden Tasarlamak, Ankara: Efil Yayınevi
Work Placement -
Aims of the Course

Weeks Learning Outcomes Topics Teaching Methods
Week - 1 Introduction
Week - 2 Technology and Society: Digital Technologies and the Digital Society
Week - 3 Dijital Kapitalizm ve Tekno-Feodalizm
Week - 4 The Historical Development of Artificial Intelligence (AI) and Fundamental Concepts;
Week - 5 Generative Artificial Intelligence; Big Data, Algorithms, and Algorithmic Bias
Week - 6 The Socio-Economic Impacts of Artificial Intelligence: Artificial Intelligence, Automation and Working Life
Week - 7 Mid-Term Exam
Week - 8 Regulation of Artificial Intelligence, Artificial Intelligence and Ethics
Week - 9 Responsible AI, , and Governance
Week - 10 Artificial Intelligence: Social and Digital Inequalities
Week - 11 Artificial Intelligence, Surveillance and Privacy
Week - 12 Artificial Intelligence, Politics, and Democracy
Week - 13 The Use of Artificial Intelligence in Sociological Research
Week - 14 The Future of Artificial Intelligence: Opportunities, Threats and Dangers

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