Ruprecht-Karls-Universität Heidelberg
Institut für Computerlinguistik

Bilder vom Neuenheimer Feld, Heidelberg und der Universität Heidelberg

Social Impact of AI

Module Description

Course Module Abbreviation Credit Points
BA-2010 AS-CL, AS-FL 8 LP
BA-2010[100%|75%] CS-CL 6 LP
BA-2010[50%] BS-CL 6 LP
BA-2010[25%] BS-AC, BS-FL 4 LP
Master SS-CL-TAC, SS-SC-FAL 8 LP
Lecturer Moritz Plenz
Module Type Proseminar / Hauptseminar
Language English
First Session 14.10.2025
Time and Place Tuesday, 10:15 - 11:45, INF 327 / SR 2
Commitment Period tbd.

Participants

All advanced CL Bachelor students and all CL master students. Students from MSc Data and Computer Science or MSc Scientific Computing with Field of Application Computational Linguistics are welcome after getting permission from the lecturer. MSc Scientific Computing students can only take the course as HS for 8 LP.  If the seminar should be oversubscribed, CL students will have priority.  

Prerequisites for Participation

Understanding of how Deep Learning, and Language Models in particular, work. This knowledge can be obtained for example from the Statistik / Formale Semantik / Neural Networks lectures.

Assessment

  • Präsentation, Projekt, und / oder Klausur
  • Mitarbeit

Contents

We interact with AI systems on a daily basis—whether we're intentionally chatting with a language model, scrolling through AI-curated social media feeds, or reading emails partially written by AI tools. Thus, AI tools may have considerable social impacts, which only become larger as AI becomes more powerful and more common.

In this seminar we want to discuss potential risks and benefits of today's and tomorrow's AI.

zum Seitenanfang