650.011 (24S) Social, Ethical and Legal Aspects of Artificial Intelligence and Cybersecurity - B
Überblick
- Lehrende/r
- LV-Titel englisch Social, Ethical and Legal Aspects of Artificial Intelligence and Cybersecurity - B
- LV-Art Vorlesung-Kurs (prüfungsimmanente LV )
- LV-Modell Blended-Learning-Lehrveranstaltung
- Online-Anteil 50%
- Semesterstunde/n 2.0
- ECTS-Anrechnungspunkte 4.0
- Anmeldungen 31 (20 max.)
- Organisationseinheit
- Unterrichtssprache Englisch
- LV-Beginn 08.03.2024
- eLearning zum Moodle-Kurs
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Anmerkungen
The lecture will be in a hybrid format to accommodate the colleagues from the University of Udine.
Zeit und Ort
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
Prüfungsmethode/n
The students have to
- hold a presentation
- hand in reflection papers on the read literature
- take part in an open book exam at the end of the VC
Prüfungsinhalt/e
In their 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.
In the exam the students will show that they understood central concepts discussed in the VC and that they are able to illustrate an understanding of the central arguments as well to apply them to small cases.
Beurteilungskriterien/-maßstäbe
The grade will consist of:
- 25% reflection papers
- 25% presentation
- 50% open book exam
All of the tasks have to be fulfilled in order to get a positive grade.
Beurteilungsschema
Note BenotungsschemaPosition im Curriculum
- Masterstudium Artificial Intelligence and Cybersecurity
(SKZ: 993, Version: 20W.1)
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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)
- 650.011 Social, Ethical and Legal Aspects of Artificial Intelligence and Cybersecurity - B (2.0h VC / 4.0 ECTS) Absolvierung im 1. Semester empfohlen
-
1.2 Social, Ethical and Legal Aspects of Artificial Intelligence and Cybersecurity (
0.0h VC / 4.0 ECTS)
-
Fach: Foundations of Artificial Intelligence and Cybersecurity
(Pflichtfach)