Universit?t Bamberg
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Fakult?t Wirtschaftsinformatik und Angewandte Informatik

Lehrstuhl für Kognitive Systeme

  1.  Otto-Friedrich-Universit?t Bamberg
  2. Fakult?ten
  3. Wirtschaftsinformatik und Angewandte Informatik
  4. Professuren und Lehrstühle
  5. Angewandte Informatik
  6. Lehrstuhl für Kognitive Systeme
  7. Team
  8. Schmid, Ute

Prof. Dr. Ute Schmid

Prof. Dr. Ute Schmid
Bayerischer KI-Rat). Furthermore, since 2020 Ute Schmid is head of the Fraunhofer IIS project group Comprehensible AI (CAI). Ute Schmid dedicates a significant amount of her time to measures supporting women in computer science and to promote computer science as a topic in elementary, primary, and secondary education. She won the Minerva Gender Equality Award of Informatics Europe 2018 for her university. Since many years, Ute Schmid is engaged in educating the public about artificial intelligence in general and machine learning and she gives workshops for teachers as well as high-school students about AI and machine learning (see Talks). For her outreach activities she has been awarded with the Rainer-Markgraf-Preis 2020.

Research interests of Ute Schmid are mainly in the domain of comprehensible machine learning, explainable AI, and high-level learning on relational data, especially inductive programming. Research topics are generation of visual, verbal and example-based explanations, intelligent tutor systems, interactive (human-in-the-loop) learning, combining deep learning and symbolic learning (neuro-symbolic AI), knowledge level learning from planning, learning structural prototypes, analogical problem solving and learning. Main application domains are image based diagnostics in medicine and industrial quality control as well as education. A further area of research is cognitive science with a focus on empirical and experimental work on high-level cognitive processes. Ute Schmid is a pioneer of Computer Science for Primary School (FELI) and is engaged in the domain of AI education.

 

 

Selected Activities

Ute Schmid has teaching experience in artificial intelligence, algorithms and programming languages, human-computer interaction, cognitive science, and cognitive psychology. Since 2004 she holds lectures in artificial intelligence, machine learning and cognitive modeling. She offers a special course "Kognitive Informatik" for students of psychology, as well as a seminar on gender aspects in computer science. In seminar courses and projects she covers topics of inductive programming, human-level learning, and explainable AI.