650.010 (20W) Social, Ethical and Legal Aspects of Artificial Intelligence and Cybersecurity
Überblick
Weitere Informationen zum Lehrbetrieb vor Ort finden Sie unter: https://www.aau.at/corona.
- 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 26 (60 max.)
- Organisationseinheit
- Unterrichtssprache Englisch
- mögliche Sprache/n der Leistungserbringung Englisch
- LV-Beginn 16.10.2020
- eLearning zum Moodle-Kurs
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, 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 partsconducted as lectures, and parts conducted as joint classroom discussions (e.g.via the AAU online ‘Classroom’ function). Apart from the discussion of basicliterature concerned with social, ethical and legal aspects, case studies andconcrete examples will be used to develop a basic understanding of legal,social and ethical challenges in AI & Cybersecurity, as well as approachesfor how to address and possibly solve such issues. Teaching will includeelements 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 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.
Erwartete Vorkenntnisse
None
Curriculare Anmeldevoraussetzungen
None
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
Geänderte Prüfungsinformationen (COVID-19 Ausnahmeregelung)
No changes necessary: the chosen methods (assignments, writing essays, and active participation in the online class) can be applied during the pandemic
Prüfungsmethode/n
Assignments, writing essays, and active participation in class
Prüfungsinhalt/e
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.
Beurteilungskriterien/-maßstäbe
Clarity, precision, completeness, and originality in writing and in the classroom discussions. Additional aspects are discussed during class.
Beurteilungsschema
Note BenotungsschemaPosition im Curriculum
- 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
-
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)