650.090 (23S) Responsibility in Artificial Intelligence & Cybersecurity: Reflecting the social and ethical dimensions in the master thesis

Sommersemester 2023

Anmeldefrist abgelaufen.

Erster Termin der LV
15.03.2023 16:00 - 18:00 Online Off Campus
... keine weiteren Termine bekannt

Überblick

Lehrende/r
LV-Titel englisch Responsibility in Artificial Intelligence & Cybersecurity: Reflecting the social and ethical dimensions in the master thesis
LV-Art Seminar (prüfungsimmanente LV )
LV-Modell Onlinelehrveranstaltung
Semesterstunde/n 1.0
ECTS-Anrechnungspunkte 2.0
Anmeldungen 7 (15 max.)
Organisationseinheit
Unterrichtssprache Englisch
LV-Beginn 15.03.2023
eLearning zum Moodle-Kurs

Zeit und Ort

Liste der Termine wird geladen...

LV-Beschreibung

Intendierte Lernergebnisse

The purpose of the course is to reflect and discuss the social and ethical aspects that specifically arise around the topics of the master theses of the participants.

After successful completion of the course, students will be able to recognize the relations between technical, social and ethical issues and to implement principles of responsible research and innovation in their master theses.

Lehrmethodik inkl. Einsatz von eLearning-Tools

The course will be strongly oriented at the topics of the master theses of the students and the respective progress. Teaching methods include: short inputs by the lecturer, short presentations by the students (on the master thesis and respective social and ethical aspects), group discussion, and written reflection.

Inhalt/e

The specific contents strongly depend on the topics of the master theses. In general the course will repeat and deepen the following themes:

  • Social and ethical aspects of AI & cybersecurity (in relation to the concrete topics of the students)
  • Conceptions of ethics
  • Societal attitudes and perceptions, public technology discourses
  • Principles and strategies of responsible innovation

Erwartete Vorkenntnisse

Contents of the course "Social, Ethical and Legal Dimensions of Artificial Intelligence and Cybersecurity"

Prüfungsinformationen

Im Fall von online durchgeführten Prüfungen sind die Standards zu beachten, die die technischen Geräte der Studierenden erfüllen müssen, um an diesen Prüfungen teilnehmen zu können.

Prüfungsmethode/n

active participation in group discussions

short presentations in class

written reflection (preferably as achapter of the master thesis)

Prüfungsinhalt/e

social and ethical aspects of the master thesis

Beurteilungskriterien/-maßstäbe

The following elements will be relevant for the assessment:

- active participation in group discussions (20%)

- short presentations on the master thesis (20%)

- written reflection on the master thesis, covering the most important ethical and societal issues and the implementation of RRI (60%)

Beurteilungsschema

Note Benotungsschema

Position im Curriculum

  • Masterstudium Artificial Intelligence and Cybersecurity (SKZ: 993, Version: 20W.1)
    • Fach: Master‘s Thesis (Pflichtfach)
      • Reflexion im Rahmen des Masterseminars ( 0.0h XX / 2.0 ECTS)
        • 650.090 Responsibility in Artificial Intelligence & Cybersecurity: Reflecting the social and ethical dimensions in the master thesis (1.0h SE / 2.0 ECTS)
          Absolvierung im 4. Semester empfohlen

Gleichwertige Lehrveranstaltungen im Sinne der Prüfungsantrittszählung

Diese Lehrveranstaltung ist keiner Kette zugeordnet