650.010 (21W) Social, Ethical and Legal Aspects of Artificial Intelligence and Cybersecurity
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- LV-Titel englisch
- Social, Ethical and Legal Aspects of Artificial Intelligence and Cybersecurity
- Vorlesung-Kurs (prüfungsimmanente LV )
- 24 (60 max.)
- zum Moodle-Kurs
Zeit und Ort
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, 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.
In addition, students should develop an awareness of legal issues related to AI and CS. They should also be able to answer relevant legal questions independently and to recognize when to seek expert advice.
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.
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 socio-ethical situations in Cybersecurity (CS), and analyse the implications for the roles and responsibilities of CS experts.
This is complemented by a presentation of the legal framework that has been established for developments in the field of AI. It will have to be shown that the legal implications are far-reaching; the focus will then be on data protection law, intellectual property law and liability law. For example: Who is liable if self-driving cars cause damage? What are the limits to the processing of data, especially personal data. What rights do people have to AI developments. Above all, it should also be shown that the legal framework is the result of a process of balancing.
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.
Geänderte Prüfungsinformationen (COVID-19 Ausnahmeregelung)
No changes necessary: the chosen methods (assignments, writing essays, active participation in the online class, and final examen) can be applied during the pandemic
Assignments, writing short essays, active participation in class, final examen
Social, ethical and legal aspects of AI & Cybersecurity as taught in offline modus (via videos, relevant literature, and Internet sources) and online. Students are expected to demonstrate a basic understanding of social, ethical and legal issues.
Clarity, precision, completeness, and originality in writing and in the classroom discussions. Additional aspects are discussed during class.
Position im Curriculum
- Masterstudium Artificial Intelligence and Cybersecurity
(SKZ: 993, Version: 20W.1)
Fach: Foundations of Artificial Intelligence and Cybersecurity
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
- 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)
Gleichwertige Lehrveranstaltungen im Sinne der Prüfungsantrittszählung
- Wintersemester 2020/21
- 650.010 VC Social, Ethical and Legal Aspects of Artificial Intelligence and Cybersecurity (3.0h / 4.0ECTS)