General information
Course type | AMUPIE |
Module title | Ethics of Technology, AI, and Neuroethics |
Language | English |
Module lecturer | dr Michał Wyrwa |
Lecturer's email | mw34272@amu.edu.pl |
Lecturer position | assistant professor |
Faculty | Faculty of Psychology and Cognitive Science |
Semester | 2024/2025 (summer) |
Duration | 30 |
ECTS | 5 |
USOS code | 23RCSPWS.2100000KU.15980.24 |
Timetable
Module aim (aims)
- Enhance understanding of ethical issues arising from technological development (technoethics)
- Broaden understanding of ethical issues arising from advances in cognitive science research (neuroethics)
- Broaden understanding of ethical issues arising from rapid development and adoption of artificial intelligence (AI ethics)
- Facilitate adoption of actionable solution-oriented and consensus-building approach to ethical challenges
Pre-requisites in terms of knowledge, skills and social competences (where relevant)
Syllabus
- Ethics as a branch of philosophy: historical overview
- Cognitive sciences and technological advancement as areas for ethical reflection (neuroethics, technoethics, neuroethics)
- Ethical issues stemming from cognitive science (opportunities and risks of cognitive enhancement technologies and pharmacology, neurolaw, neurocriteria for moral status)
- Ethical issues in AI (autonomy vs. accountability and responsibility, algorithmic biases, user-centric issues in generative AI)
- Ethical issues in a knowledge-based society and technology-submersion living (data privacy, information overflow and credibility, sustainability vs technological development)
Reading list
Obligatory
- Bartneck, C., Lütge, C., Wagner, A., & Welsh, S. (2021). An introduction to ethics in robotics and AI. Springer Nature.
Optional
- Floridi, L. (2015). The onlife manifesto: Being human in a hyperconnected era. Springer nature.
- Clausen, J., Levy N. (Eds.) (2015). Handbook of Neuroethics, Springer.