Zur Seitennavigation oder mit Tastenkombination für den accesskey-Taste und Taste 1 
Zum Seiteninhalt oder mit Tastenkombination für den accesskey und Taste 2 
  1. WiSe 2024/25
  2. Hilfe
  3. Sitemap
Switch to english language
Startseite    Anmelden     
Logout in [min] [minutetext]

Strukturbaum
Die Veranstaltung wurde 2 mal im Vorlesungsverzeichnis WiSe 2024/25 gefunden:
  • Funktionen:
Empirical Aspects of Responsible and Accountable AI    Sprache: Englisch    Keine Belegung möglich
(Keine Nummer) Seminar     WiSe 2024/25     2 SWS     jedes Semester    
   Fakultät: Informatik    
 
      Master of Science Angewandte Kognitions- und Medienwissenschaft, Abschluss 87, Master of Science Angewandte Kognitions- und Medienwissenschaft (87AKM)   ( 1. - 3. Semester ) - Kategorie : WP    
  Master of Science Angewandte Informatik (Ingenieur- oder Medieninfor, Abschluss 87, Master of Science Angewandte Informatik (Ingenieur- oder Medieninfor (87AIM)   ( 1. - 4. Semester ) - Kategorie : WP    
   Zugeordnete Lehrpersonen:   Singh verantwort ,   Neumann begleitend ,   Cetinkaya begleitend
 
 
 
   Termin: Dienstag   10:00  -  12:00    wöch.       Raum :   BC 319   BC  
 
 
   Bemerkung:

 

Start Date and Time: October 8th 2024, 10:00 AM

Description: The seminar titled “Empirical Aspects of Responsible and Accountable AI: Human-Computer Interaction Perspectives,” will require students to engage in research and present findings on the psychological and social dimensions of human interaction with artificial intelligence (AI) systems. The focus will be on gaining insights into how issues of responsibility and accountability are investigated through empirical methods and approaches. The seminar will examine a number of key topics, such as explainability, fairness and bias, trust, perceptions of algorithmic harm, human-AI collaboration, transparency, and accountability. 

In order to successfully participate in this seminar, students are required to:

- Deliver a presentation on a chosen topic, providing an in-depth analysis

- Actively participate in discussion sessions and contribute to an active and collaborative environment

- Submit a final graded assignment (i.e. study outline or essay) at the end of the seminar, derived from their research findings and gained insights

This seminar is taught in English and open to both psychologists and computer scientists, offering an interdisciplinary forum for the acquisition and discussion of sociotechnical perspectives, methods and approaches. 

If you would like to attend the seminar, just drop an email to anna.neumann1@uni-due.de AND nur.cetinkaya@uni-due.de by October 7th.