Artificial Intelligence and Ethics
Künstliche Intelligenz und Ethik
6 LPSoSeENFÜS
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
Lernziele
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.
Prüfungsleistung
• Presentation, 20 minutes (40%) • Written report, 15-20 pages (40%) • Active participation in seminar course (20%)
Literatur (1)
- 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
Quelle: Modulbeschreibung der BTU · abgerufen 19.10.2026Original