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Information Systems and Applied Computer Sciences

Cognitive Systems

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  9. Seminar Cognitive Systems

Masterseminar Kognitive Systeme/Cognitive Systems (SS 2025)

General Information

  • This seminar is open for students of the bachelor programs AI and SoSySc and master programs AI and CitH.
  • Pre-requisite to participate in the seminar is previous successful participation in at least one of the modules KogSys-KI-B or KogSys-ML-B (for students who newly changed to University of Bamberg, analogue models from their previous university are accepted).
  • There will be a limit of 20 students that are able to participate in the seminar.
  • You have to apply for this seminar in a central application procedure. More info in the respective VC course.
  • You find administrative information at UnivIS.
  • Participants should sign up for the course in the virtual campus.
  • The course is usually offered in the summer term.

Topic: Responsible AI Development – Theory and Practice(s)

(course taught by Dr. Tarek Besold)

This block seminar will assess the current state of responsible AI development from both a theoretical (i.e., what are or can be the foundations of responsible AI systems and development practices?) and an applied perspective (i.e., which theoretical components can be transferred to practice, and where are the challenges/breakpoints?). (Some) of the conceptual foundations of responsible technology development and the specific characteristics of AI as a domain will be critically examined, and suggestions for implementing the selected values ??and guidelines will be developed. Furthermore, the pressures faced by AI developers in practice will be addressed, what these pressures mean for the implementation of responsible development approaches, and whether there are (currently) difficult-to-overcome gaps between theory and application. Finally, some of the governance and regulatory structures and processes currently being discussed will be outlined to ensure compliance with a minimum standard of good practices in the development of AI systems. The content will be brought to life using (simulated) case studies from the startup sector. 

Learning objectives and skills: Insight into research questions in the field of responsible AI, understanding of the tensions between academic theory and market-based practice, insight into the development of business concepts and models in the AI ??startup sector, and understanding of technology regulation and governance.

Recommended Reading / Links / Topics

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Previous Seminars


Bachelor/Master-Seminar: AI and Education:   [WS23/24]

Bachelor/Master-Seminar: Explainable Artificial Intelligence:  [WS 19/20] [WS 20/21] [WS22/23]

KI-Seminare (KI gestern, heute, morgen): [WS 15/16] [WS 16/17] [WS 17/18] [WS 18/19]

Bachelor Seminare: [WS 04/05] [WS 05/06] [WS 06/07] [WS 07/08] [WS 08/09] [WS 09/10]  [WS 10/11]    [SS 11] [WS 11/12] [WS 12/13] [WS13/14]

Master Seminare: [SS 05] [SS 06] [SS 08] [SS 09] [WS 09/10] [SS 10]  [WS 11/12] [WS 12/13] [WS 13/14] [SS 20] [SS 21][SS22] [SS23] [SS24]

Reading Clubs:

  • WS 14/15: Cognitive Models for Number Series Induction Problems  [Archiv Page]
  • SS 2014: Experimenting with a Humanoid Robot - Programming NAO to (Inter-)Act  [Archiv Page]
  • SS 2013: An introduction into statistic data analysis with R  [Archiv Page]
  • SS 2012: Transfer Learning  [Archiv Page]
  • SS 2011: Emotion Mining in Images and Text  [Archiv Page]
  • SS 2010: Aspects of Cognitive Robotics [Archiv Page]
  • SS 2009: Reading Club Decision Support Systems [Archiv Page]
  • WS 08/09: Algebraic Foundations of Functional Programming (together with Theoretical Computer Science) [Archiv Page]
  • SS 2008: Similarity (together with Statistics) [Archiv Page]
  • SS 2007: Automated Theorem Proving with Isabelle (together with Theoretical Computer Science) [Archiv Page]
  • SS 2006: Support Vector Machines [Archiv Page]