650.010 (23S) Social, Ethical and Legal Aspects of Artificial Intelligence and Cybersecurity

Sommersemester 2023

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Erster Termin der LV
10.03.2023 09:00 - 13:00 online Off Campus
... keine weiteren Termine bekannt

Überblick

Lehrende/r
Tutor/in/Innen
LV-Titel englisch Social, Ethical and Legal Aspects of Artificial Intelligence and Cybersecurity
LV-Art Vorlesung-Kurs (prüfungsimmanente LV )
LV-Modell Onlinelehrveranstaltung
Semesterstunde/n 3.0
ECTS-Anrechnungspunkte 4.0
Anmeldungen 48 (60 max.)
Organisationseinheit
Unterrichtssprache Englisch
LV-Beginn 10.03.2023
eLearning zum Moodle-Kurs

Zeit und Ort

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LV-Beschreibung

Intendierte Lernergebnisse

At the end of the course students will have an overview, and developed a basic understanding of social, ethical and legal aspects related to AI and Cybersecurity. They will acquire a more detailed understanding in selected research areas, including, for example, specific concepts of science and technology studies (STS).

Concerning concrete skills, students learn to apply theoretical concepts and approaches in the analysis of social and ethical complexity, and related tensions, conflicts in values, legal issues, as well as socio-ethical dilemmas. They will be able to reflect on such issues in both verbal communication and writing, at a basic level.

Lehrmethodik inkl. Einsatz von eLearning-Tools

The VC consists of parts conducted as lectures, and parts conducted as joint classroom discussions, incl. in small groups (e.g.via the AAU online ‘Classroom’ function). Apart from the discussion of basic literature concerned with social, ethical and legal aspects, case studies and concrete examples will be used to develop a basic understanding of legal, social and ethical challenges in AI & Cybersecurity, as well as approaches for how to address and possibly solve such issues. Teaching will include elements of interactive, back-and-forth problem identification and discussion.

Inhalt/e

The VC provides for baseline definitions of what ‘social’ and ‘ethical’ means in the context of technology design, development and use. The lectures and discussions concerned with the social and ethical aspects of AI & Cybersecurity overlap in various ways, since part of the VC relies on integrated, interdisciplinary approaches as developed under the research and policy agenda of ‘Responsible Research and Innovation’ (RRI). From the viewpoint of RRI, we will, for instance, address the following question: who or what is responsible for fatal accidents, and other undesirable socio-ethical consequences from running (semi-)autonomous systems, such as ‘self-driving’ cars? Their design, development and governance require the input and coordination of many different actors, including programmers and modelling experts, car manufacturers and dealers, car owners and drivers, as well as transport and traffic expects. We discuss and analyse such complex situations of distributed responsibility for AI solutions, and what such complex entanglements imply for the roles and responsibilities of AI designers, developers and other AI experts. In a similar way, we address complex ethical situations in Cybersecurity (CS), and analyse the implications for the roles and responsibilities of CS experts.  Furhter, we will explore issues tat arise from a perspective of legal theory in these cases.

Literatur

All course materials will be provided via the AAU Moodle platform. This includes required readings, videos to watch etc., as well as supplementary material, e.g. further literature.

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

The students have to

  • hold a presentation
  • hand in reflection papers on the read literature
  • hand in a report evaluating ethical, legal, or social aspects of a chosen technology

Prüfungsinhalt/e

In their papers and presentations the students will show that they have acquired a good understanding of the challenges and possibilities provided by digital technologies, esp. algorithms and artificial intelligence, in regard of ethical, legal, and social aspects. Further they show that they are able make an argument for or against certain applications based on these concepts.

The reflection papers will show that the students have actively engaged with the reading.

Beurteilungskriterien/-maßstäbe

The grade will consist of:

  • 25% reflection papers
  • 25% presentation
  • 50% final report

All of the tasks have to be fulfilled in order to get a positive grade.

Beurteilungsschema

Note Benotungsschema

Position im Curriculum

  • Masterstudium Angewandte Kulturwissenschaft und Transkulturelle Studien (SKZ: 842, Version: 22W.1)
    • Fach: Humans in the Digital Age (Wahlfach)
      • 14.1 Humans in the Digital Age I ( 0.0h PS, SE, PM, KS, VC, VP / 4.0 ECTS)
        • 650.010 Social, Ethical and Legal Aspects of Artificial Intelligence and Cybersecurity (3.0h VC / 4.0 ECTS)
  • Masterstudium Artificial Intelligence and Cybersecurity (SKZ: 993, Version: 20W.1)
    • Fach: Foundations of Artificial Intelligence and Cybersecurity (Pflichtfach)
      • 1.2 Social, Ethical and Legal Aspects of Artificial Intelligence and Cybersecurity ( 0.0h VC / 4.0 ECTS)
        • 650.010 Social, Ethical and Legal Aspects of Artificial Intelligence and Cybersecurity (3.0h VC / 4.0 ECTS)
          Absolvierung im 1. Semester empfohlen

Gleichwertige Lehrveranstaltungen im Sinne der Prüfungsantrittszählung

Sommersemester 2024
  • 650.010 VC Social, Ethical and Legal Aspects of Artificial Intelligence and Cybersecurity - A (2.0h / 4.0ECTS)
Wintersemester 2021/22
  • 650.010 VC Social, Ethical and Legal Aspects of Artificial Intelligence and Cybersecurity (3.0h / 4.0ECTS)
Wintersemester 2020/21
  • 650.010 VC Social, Ethical and Legal Aspects of Artificial Intelligence and Cybersecurity (3.0h / 4.0ECTS)