650.090 (22S) Responsibility in Artificial Intelligence & Cybersecurity: Reflecting the social and ethical dimensions in the master thesis
Überblick
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- 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 Präsenzlehrveranstaltung
- Semesterstunde/n 1.0
- ECTS-Anrechnungspunkte 2.0
- Anmeldungen 2 (15 max.)
- Organisationseinheit
- Unterrichtssprache Englisch
- mögliche Sprache/n der Leistungserbringung Englisch
- LV-Beginn 15.03.2022
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Anmerkungen
Only the first two dates are displayed. Further dates (~4) will be arranged with the students in the first course units.
Zeit und Ort
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
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
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 BenotungsschemaPosition im Curriculum
- Masterstudium Artificial Intelligence and Cybersecurity
(SKZ: 993, Version: 20W.1)
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Fach: Master‘s Thesis
(Pflichtfach)
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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
-
Reflexion im Rahmen des Masterseminars (
0.0h XX / 2.0 ECTS)
-
Fach: Master‘s Thesis
(Pflichtfach)