Künstliche Intelligenz und Ethik
Titel auf Englisch: Artificial Intelligence and Ethics
Lernergebnisse
Upon successful completion of the module, students have a fundamental understanding of the ethical challenges arising from the increasing use of artificial intelligence in modern digital systems. They are able to explain key ethical principles such as privacy, fairness, transparency, accountability, and trustworthiness in the context of AI. Students can analyze the social and technical implications of AI-based decision-making processes and critically assess potential risks and benefits. Furthermore, they develop the ability to evaluate AI systems with respect to ethical requirements and to discuss approaches for integrating ethical considerations into the design and development of trustworthy digital systems. In addition, students have strengthened their skills in forming and justifying well-founded positions on ethical questions related to artificial intelligence.
Inhalte
- Introduction to artificial intelligence and its application areas in modern digital systems
- Ethical challenges arising from the use of AI in critical and societal contexts
- Core ethical principles for AI, including fairness, transparency, accountability, privacy, and trustworthiness
- Bias, discrimination, and fairness in AI-based decision-making systems
- Explainability and transparency of machine learning models
- Privacy and data protection in AI-driven applications
- Human oversight, responsibility, and accountability in AI systems
- Frameworks and guidelines for trustworthy and responsible AI (e.g., trustworthy AI principles)
- Methods for integrating ethical considerations into the AI development lifecycle
- Interdisciplinary discussion of societal, legal, and technical implications of AI deployment
Voraussetzungen
Verpflichtende Voraussetzungen
Keine
Empfohlene Voraussetzungen
Keine
Prüfungsmodalitäten
- Presentation, 20 minutes (40%)
- Written report, 15-20 pages (40%)
- Active participation in seminar course (20%)
Angeboten in
- Alle StudiengängeAlle Abschlüsse
Wahlpflichtkomplex: Fachübergreifendes Studium
| Studiengang | Abschluss | Wahlpflichtkomplex |
|---|---|---|
| Alle Studiengänge | Alle Abschlüsse | Fachübergreifendes Studium |
Literatur und Materialien
Jobin, A., Ienca, M., & Vayena, E. (2019). The Global Landscape of AI Ethics Guidelines. Nature Machine Intelligence, 1, 389–399. DOI: 10.1038/s42256-019-0088-2
Bewertungen von Studierenden
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