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851-0081-00L 3 Credits DS , MSC D-GESS

Artificial Intelligence. Interdisciplinary Perspectives

Lecturers & Examiners: Dr. Arno Schubbach, Dr. Jörg Noller
VVZ CR n/a

Last Updated: 2026-02-05 15:48:15

Abstract

In the last 50 years, research on artificial intelligence (AI) has repeatedly boomed but failed to deliver on its great promises. In the last decade, however, especially the deep learning approach has achieved remarkable results This eLearning-seminar will discuss epistemological, but also ethical and political aspects of these recent developments in interdisciplinary perspective.

Objective

Students will learn to reflect on one of the most attention-grabbing technologies of recent years in terms of its epistemological basis and social impact.

Content

In the last 50 years, research on artificial intelligence (AI) has repeatedly boomed but failed to deliver on its great promises. In the last decade, however, especially the deep learning approach has achieved remarkable results and is already applied in many contexts. Since this approach breaks with assumptions of the older symbolic approaches of AI research, a new philosophical discussion is needed. Therefore, the interdisciplinary seminar will start from the classical philosophical debate, which was shaped by thinkers like Herbert Dreyfus and John Searle and focused on the concept of the rule following, in order to confront it with the newer state of research, its data driven approach and the concept of learning. We will discuss the consequences and challenges of these new approaches in AI for their theoretical and philosophical reflection. In a second step, the seminar will discuss not only epistemological, but also ethical and political aspects of the recent developments in AI in interdisciplinary perspectives.

General Information

Language
English
Levels
DS , MSC

Examination

Type
graded semester performance

Registration & Places

Max Places
20

Course Components

Type Title Time & Place Hours
seminar Artificial Intelligence. Interdisciplinary Perspectives
The lecturers will communicate the exact lesson times of ONLINE courses.
  • Tue 18:00-20:00 (ON LI NE)
2 h weekly

Offered In