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WiSe 2026/27

Responsible AI - Einzelansicht

  • Funktionen:
Grunddaten
Veranstaltungsart Projekt SWS 10
Veranstaltungsnummer 426210028 Max. Teilnehmer/-innen
Semester WiSe 2026/27 Zugeordnetes Modul
Erwartete Teilnehmer/-innen 5
Rhythmus einmalig
Hyperlink  
Sprache englisch


Zugeordnete Person
Zugeordnete Person Zuständigkeit
Jakesch, Maurice, Prof., PhD verantwortlich
Studiengänge
Abschluss Studiengang Semester Leistungspunkte
B. Sc. Medieninformatik (B.Sc.), PV 29 - 15
B. Sc. Medieninformatik (B.Sc.), PV 11 - 15
B. Sc. Medieninformatik (B.Sc.), PV 16 - 15
B. Sc. Medieninformatik (B.Sc.), PV 17 - 15
M. Sc. Computer Science for Digital Media (M.Sc.), PV 18 - 15
M. Sc. Human-Computer Interaction (M.Sc.), PV19 - 12/18
B. Sc. Informatik (B.Sc.), PV 2020 - 12
M. Sc. Computer Science for Digital Media (M.Sc.), PV 2020 - 12
Zuordnung zu Einrichtungen
Fachbereich Medieninformatik
Fakultät Medien
Inhalt
Beschreibung

Responsible AI refers to principles, practices, and frameworks that can guide the ethical and accountable development of artificial intelligence systems and ensure that deployed systems are safe, fair, and beneficial to society. In this project, students will engage with perspectives from across the field through weekly readings, reflections, and discussions of central texts.

In parallel, each student will design and carry out a Responsible AI research project. Possible approaches include system audits, experiments, user studies, conceptual work, or dataset collection. The course emphasizes both conceptual engagement and hands-on practice, with the goal of preparing students to participate in the evolving debates around responsible AI.

The main project outcome will be an individual project report, giving students the opportunity to practice scientific writing and potentially develop a publishable contribution. Assessment will be based on the final project, as well as active participation, presentations, and demonstrated progress throughout the semester.

Bemerkung

Time and place will be announced at the project fair.

Voraussetzungen

Successful prior completion of “Methods of Social Data Analysis”. If you do not fulfill the requirement but believe you would be a good fit for the project, please reach out to the instructor.

Leistungsnachweis

Scientific project report

Zielgruppe

B.Sc. Informatik

M.Sc. Computer Science for Digital Media

M.Sc. Human-Computer Interaction

 


Strukturbaum
Die Veranstaltung wurde 8 mal im Vorlesungsverzeichnis WiSe 2026/27 gefunden:
Master  - - - 2
Bachelor  - - - 3
Projects  - - - 5
Research Project 1  - - - 6
Research Project 2  - - - 7
Project  - - - 8

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