650.090 (24S) Responsibility in Artificial Intelligence & Cybersecurity: Reflecting the social and ethical dimensions in the master thesis

Sommersemester 2024

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First course session
10.04.2024 15:15 - 16:45 online Off Campus
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Overview

Lecturer
Course title german Responsibility in Artificial Intelligence & Cybersecurity: Reflecting the social and ethical dimensions in the master thesis
Type Seminar (continuous assessment course )
Course model Online course
Hours per Week 1.0
ECTS credits 2.0
Registrations 13 (15 max.)
Organisational unit
Language of instruction Englisch
possible language(s) of the assessment English
Course begins on 10.04.2024
eLearning Go to Moodle course

Time and place

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Course Information

Intended learning outcomes

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.

Teaching methodology including the use of 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.

Course content

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

Prior knowledge expected

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

Literature

Will be provided on Moodle

Examination information

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.

Examination methodology

active participation in group discussions

presentations in class

written reflection (stand-alone essay or chapter of the master thesis)

Examination topic(s)

social and ethical aspects specific to the individual master thesis

Assessment criteria / Standards of assessment for examinations

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  (60%)

Grading scheme

Grade / Grade grading scheme

Position in the curriculum

  • Master's degree programme Artificial Intelligence and Cybersecurity (SKZ: 993, Version: 20W.1)
    • Subject: Master‘s Thesis (Compulsory subject)
      • 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

Equivalent courses for counting the examination attempts

This course is not assigned to a sequence of equivalent courses