SubjectsSubjects(version: 902)
Course, academic year 2022/2023
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AI in context - NAIL127
Title: AI v kontextu
Guaranteed by: Department of Software and Computer Science Education (32-KSVI)
Faculty: Faculty of Mathematics and Physics
Actual: from 2022
Semester: both
E-Credits: 3
Hours per week, examination: 1/1 [hours/week]
Capacity: unlimited
Min. number of students: unlimited
Virtual mobility / capacity: no
State of the course: taught
Language: Czech
Teaching methods: full-time
Additional information: http://aivk.cz#prednasky
Note: you can enroll for the course repeatedly
you can enroll for the course in winter and in summer semester
Guarantor: Mgr. Tereza Hannemann, Ph.D.
Mgr. Rudolf Rosa, Ph.D.
Annotation -
Last update: RNDr. Tomáš Holan, Ph.D. (10.05.2021)
A series of invited lectures and follow-up discussion seminars for UK students and the public at which selected experts will offer diverse views of artificial intelligence in the context of different disciplines (e.g. art, law, ethics, security, philosophy). The course is open to all those interested in the topic of AI in a wider context, who are invited toparticipate in the different parts of the course according to their discretion and interest (enrollment for the course is not necessary, just come). Lectures by invited guests will alternate with discussion seminars for attendees intereste
Aim of the course -
Last update: RNDr. Tomáš Holan, Ph.D. (10.05.2021)
  • Get familiar with AI issues in the context of various other disciplines
  • Enhance/deepen AI knowledge with social context

Course completion requirements -
Last update: Mgr. Rudolf Rosa, Ph.D. (11.05.2021)

To obtain the credit, you must attend at least 4 lectures and at least 4 discussion seminars; it is mandatory to actively participate in the discussion to count the participation in the seminar.

In addition, a final test is required to obtain the credit.

Literature -
Last update: Mgr. Tereza Hannemann, Ph.D. (10.05.2021)
Introduction to methods used in artificial intelligence: Societal impacts of AI-related technologies:
  • Nick Couldry and Ulises A. Mejias. The Costs of Connection: How Data is Colonizing Human Life and Appropriating it for Capitalism. Stanford University Press, 2019. https://colonizedbydata.com/
  • Frank Pasquale. The Black Box Society: The Secret Algorithms That Control Money and Information. Harvard University Press, 2015. https://www.hup.harvard.edu/catalog.php?isbn=9780674970847
  • Meredith Broussard. Artificial Unintelligence: How Computers Misunderstand the World. MIT Press, 2018. https://mitpress.mit.edu/books/artificial-unintelligence
  • Joseph E. Aoun. Robot-Proof: Higher Education in the Age of Artificial Intelligence. MIT Press, 2018. https://mitpress.mit.edu/books/robot-proof
  • Zuboff, S. (2015). Big other: surveillance capitalism and the prospects of an information civilization. Journal of Information Technology, 30(1), 75-89.
  • Manovich, L. (2013). Software takes command (Vol. 5). A&C Black.
  • Manovich, L. (2011). Trending: The promises and the challenges of big social data. Debates in the digital humanities, 2(1), 460-475.
  • Margaret A. Boden (Ed.): The Philosophy of Artificial Intelligence (1990)
Syllabus -
Last update: Mgr. Rudolf Rosa, Ph.D. (19.01.2022)

In the academic year 2021/2022 the course takes place ONLY IN THE SUMMER TERM and ONLY IN CZECH LANGUAGE.

The initial meeting will be followed by a series of lectures and follow-up discussion seminars: a lecture in one week and a discussion seminar on the topic of the lecture in the following week. There will then be a final meeting and a test at the end of the semester.

The content will always depend on the specific selection of speakers for the year, among the topics planned are (in alphabetical order):

  • AI in the context of art
  • AI in the context of computer games
  • AI in the context of economics
  • AI in the context of ethics
  • AI in the context of government
  • AI in the context of law
  • AI in the context of literature
  • AI in the context of philosophy
  • AI in the context of psychology
  • AI in the context of marketing
  • AI in the context of media
  • AI in the context of security
  • AI in the context of sociology

and more

During each semester, we will present AI in 5-6 contexts.

 
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