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Information Systems and Applied Computer Sciences

Chair of Information Systems, esp. AI Engineering in Companies

  1.  University of bamberg
  2. Faculties
  3. Information Systems and Applied Computer Sciences
  4. Subject groups
  5. Information Systems
  6. Chair of Information Systems, esp. AI Engineering in Companies
  7. Teaching
  8. Master
  9. Researchproject Digital Society and AI-based Systems

Researchproject Digital Society and AI-based Systems (Master)

AIC-SPRO-M (AIC-DIGAI-M, only in SoSe 2024)
WI-Project: 6 ECTS / 180h / 4 SWS

Supervisor: Prof. Dr. Milad Mirbabaie 

Language: English
Time: summer term / Mi 8-12 Uhr 
Place: GU13/02.05

Content: The course deals with the future of society and the use of artificial intelligence and assistance systems. Relevant topics are explored and reflected on the basis of empirical and theoretical work. The focus is on the question of how society deals with new technologies and the resulting opportunities and risks. Current scientific and socially relevant topics are explained and developments are critically reflected on the basis of empirical and theoretical literature.

Learning objectives/skills: Students will be able to classify important areas of influence of the digital transformation with a view to society. In addition to the technological and conceptual foundations, ethical aspects are also known and are included in the assessment. Students understand the interdisciplinary nature of research and practice, particularly with regard to the change in the social status quo through digital technologies, such as artificial intelligence/assistance systems. Students will be able to assess the overall role of digital technologies in the social context. They are familiar with common methods and technologies and can apply them prototypically. They are familiar with the ethical implications and challenges posed by new technologies and are able to interpret and critically classify empirical and theoretical work in this context. A further qualification feature is that the content covered can be applied to their own questions. To this end, relevant research questions and research gaps can be identified.

Exam: term paper and presentation

Other information:
Frequency: summer semester
Minimum duration of the module: 1 semester

This is a course for Master students. No admission requirements. No special knowledge is necessary prior to this module.

If you are interested in this course, please register via FlexNow! If your enrollment was successful, you can attend. Please be sure to attend the first session of the semester. You will receive the enrollment information for the corresponding VC course at the kick-off session.

You can also find all information in UnivIS.