(in Polish) Ethics of AI or AI Ethics FIL-PER>mono03
An introduction to AI and ethics: basic concepts and perspectives (MIT)
2. Ethics of AI: laws , regulations, our relations with AI (OUP)
3. AI Ethics: professional norms, codes, standards.
4. AI Ethics: moral framework, transparency, responsibility
5. AI Ethics: future of work, human judgement and algorithms, autonomy
6. AI Ethics Perspectives I: Explanatory AI, TAI, Beneficial AI, Phronetic ethics, WBE
7. AI Ethics: Perspectives II: cognitive science, philosophy, computer science
8. AI Ethics: Cases and applications: AI Ethics in military, transport, and criminal law
9. AI Ethics: Cases and applications: AI Ethics in medicine, biology, policy
10. AI Ethics: Cases and applications: AI Ethics in pedagogy, teaching, care, democracy
11. AI Ethics: summary of main issues and take-aways
Course coordinators
Learning outcomes
A student can understand the ethical problems created by AI and provide the extended ethical analysis of AI technology in selected cases
A student will be able to connect AI ethics claims with ethical theories
A student will be able to indicate the most recent advanced in AI Ethics
A student will be able to prepare a presentation of AI ethics to the conference
Assessment criteria
A student must submit two abstracts on discussed topics - 300-500 words each.
A student must submit and present 10min presentation on a selected topic.
Participation in class discussions
Practical placement
none
Additional information
Additional information (registration calendar, class conductors, localization and schedules of classes), might be available in the USOSweb system: