CORE067 Roboethics: from RUR to artificial intelligence

Faculty of Medicine
autumn 2022
Extent and Intensity
2/0/0. 3 credit(s). Type of Completion: k (colloquium).
Taught partially online.
Teacher(s)
doc. Mgr. Josef Kuře, Dr. phil. (alternate examiner)
PhDr. David Černý, Ph.D. (lecturer)
Guaranteed by
PhDr. David Černý, Ph.D.
Department of Medical Ethics – Theoretical Departments – Faculty of Medicine
Contact Person: PhDr. David Černý, Ph.D.
Supplier department: Department of Medical Ethics – Theoretical Departments – Faculty of Medicine
Timetable
Thu 13:00–14:40 C15/333
Prerequisites
! FAKULTA ( LF )
This course has no prerequisites.
Course Enrolment Limitations
The course is offered to students of any study field.
The capacity limit for the course is 300 student(s).
Current registration and enrolment status: enrolled: 9/300, only registered: 0/300, only registered with preference (fields directly associated with the programme): 0/300
Course objectives
This course aims to introduce students to the fundamentals of AI ethics. Artificial intelligence is increasingly a part of our lives and affects us and society as a whole. The use of AI comes with various benefits but, unfortunately, also increasingly serious risks. Therefore, students must be familiar with the challenges of AI and aware of the threats associated with it. One of the course aims is to contribute to students' algorithmic literacy.
Learning outcomes
Upon completion of the course, the student will be able to: - describe the basic types of artificial intelligence and robots - understand the basics of artificial intelligence and compare it with human intelligence - critically use basic tools of ethical analysis - define existential risks and apply them to the development and use of artificial intelligence - describe the risks associated with general artificial intelligence and superintelligence and realistically assess them - describe the benefits and risks of using artificial intelligence - apply ethical analysis to all relevant application areas of artificial intelligence - identify cognitive biases and their reinforcement by artificial intelligence - develop critical tools associated with algorithmic literacy - understand the basic problems of the philosophy of AI (ontology, epistemology, etc.) - use the tools of human rights theory and apply them to the different areas of human existence and coexistence with machines
Syllabus
  • Course outline: 1. Basic concepts (intelligence, artificial, human, types of artificial intelligence) 2. Superintelligence and existential risks 3. Basic ethical concepts and theories 4. Ethics of autonomous vehicles 5. Ethics of military robots 6. Ethics of social robots and sexbots 7. Critical thinking in the era of artificial intelligence 8. Algorithmic literacy 9. Philosophy of artificial intelligence (personal identity, uploads, cyborgs) 10. AI in a broader context (climate change, political philosophy) 11. Human rights, machine rights 12. Creativity, art and artificial intelligence
Literature
    required literature
  • RUSSELL, Stuart. Jako člověk. Praha: Argo, 2021.
  • ORD, Toby. Nad propastí : existenční riziko a budoucnost lidstva. Translated by Anna Štádlerová. Vydání první. Praha: Argo, 2022, 480 stran. ISBN 9788025737798. info
  • TEGMARK, Max. Life 3.0. Praha: Agro, 2020. info
    recommended literature
  • LIAO, Matthew (ed.). Ethics of Artificial Intelligence. New York: Oxford University Press, 2020.
  • LIN, Patrick, Jenkins, Ryan, Abney, Keith. Robot Ethics 2.0. New York: Oxford University Press, 2017.
  • SHANAHAN, Murray. The technological singularity. Cambridge, Massachusetts: MIT Press, 2015, xxiii, 244. ISBN 9780262527804. info
Teaching methods
Lectures, instructional videos, classroom discussions, reading recommended literature
Assessment methods
Participation in the lectures is optional. Familiarity with the recommended literature is required. The course is concluded with a final colloquium.
Language of instruction
Czech
Further comments (probably available only in Czech)
Study Materials
The course is taught annually.
Information on the extent and intensity of the course: 30.
  • Enrolment Statistics (recent)
  • Permalink: https://is.muni.cz/course/med/autumn2022/CORE067