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Media Ethics

CLA20542
Computer Science and ICT, Data, AI

About this course

Digital technology is always getting more complex and more interwoven with the human lifeworld. The problems of understanding media – i.e. the nature and implications of digital technology – are expressed in radically different and often contradictory conceptions. The module examines the major conceptions of digital technology/media and the respective ethical consequences they imply. A particular emphasis is on the changes technology brings to the perception, action, and thinking of individuals and their social relations. Using selected examples, not only concepts for understanding (digital) media and models of ethical argumentation are presented, but also options for evaluating and dealing with ethical conflicts are discussed.

Learning outcomes

Upon successful completion of this module, students will be able to: • describe the prevalent and often implicitly presupposed conceptions of digital technology • explain the ethical issues entailed by the respective conception • read, analyze, and understand philosophical texts • apply the conceptions to concrete case studies • identify the specific ethical conflicts between these conceptions • present and discuss academic papers on this complex interdisciplinary topic

Examination

In a (group) presentation (18-22 minutes plus discussion) and responses to other presentations, the students demonstrate their capability to collaborate on complex topics, gain insights from philosophical texts, apply them to case studies, and understand the implied ethical issues and conflicts.

The assessment consists of two components:

In-Class Presentations (60%) Students will deliver an 18–20 minute group presentation plus discussion, analyzing philosophical texts and applying philosophical concepts to AI issues. Each student will be evaluated individually based on their contribution, analytical depth, and presentation skills.

Discussion Engagement (40%) Students will actively participate in class discussions, prepare questions and arguments to be posted online before class, and prepare 2 structured responses (approximately 3 minutes each) that comprise: Content-related questions that deepen understanding of the presented material Constructive collegial feedback on peer presentations

Resources

  • Coeckelbergh, Mark, and David J. Gunkel. 2023. “ChatGPT: Deconstructing the Debate and Moving It Forward.” AI & SOCIETY, June. https://doi.org/10.1007/s00146-023-01710-4. Crane, Tim. 2021. “The AI Ethics Hoax.” IAI TV - Changing How the World Thinks. March 3, 2021. https://iai.tv/articles/the-ai-ethics-hoax-auid-1762. Durt, Christoph. 2023. “The Digital Transformation of Human Orientation: An Inquiry into the Dawn of a New Era (Winner of the $10.000 Essay Prize).” Esposito, Elena. 2022. Artificial Communication: How Algorithms Produce Social Intelligence. Strong Ideas Series. Cambridge, Massachusetts: The MIT Press. Verbeek, Peter-Paul, and Robert P. Crease. 2005. What Things Do: Philosophical Reflections on Technology, Agency, and Design. 2. printing. University Park, Pa: Pennsylvania State Univ. Press.

Activities

Methods include conceptual analysis, hermeneutic work with texts, class discussions, group work, and presentations.

Additional information

course
2 ECTS
  • Level
    Bachelor
  • Contact hours per week
    2
  • Instructors
    Christoph Durt
  • Mode of delivery
    Hybrid
If anything remains unclear, please check the FAQ of TUM (Germany).
There are currently no offerings available for students of EPFL (Switzerland)