Prof. Dr. Ute Schmid
Member of bidt's Board of Directors and the Executive Commitee | Member of the Bavarian AI Council | Head of Cognitive Systems Group, University of Bamberg
Ute Schmid is a member of bidt’s Board of Directors and Executive Committee. She is a Professor of Cognitive Systems at the University of Bamberg. She has been teaching and researching artificial intelligence for many years, focusing on human-like machine learning and methods for interactive and explanatory learning. She is the initiator and head of FELI – Research group for elementary and primary computer science. She has been committed to teaching basic informatics concepts in primary schools for over ten years. In 2020, she was awarded the Rainer-Markgraf-Preis for her commitment to knowledge transfer in computer science, especially AI, for children, teachers, and the general public. Ute Schmid is a member of the Bavarian AI Council.
Ute Schmid at vhs.wissen live: “We need to calibrate our trust in AI systems appropriately“
At “vhs.wissen live”, bidt director Ute Schmid demonstrated why trust in AI systems should be neither excessive nor sceptical. She emphasised the importance of expertise in using AI responsibly.
How much trust does generative AI deserve?
Generative artificial intelligence has long been part of everyday life, but how reliable are its results? In this interview, bidt Director Ute Schmid explains why trust in AI is more than just technical confidence.
The bidt at re:publica and TINCON
Researchers from the bidt were prominently represented at re:publica and TINCON with talks and panels on disinformation, AI in the classroom, digital generational silos, toxic entertainment and the political handling of authenticity.
ORF article about Ute Schmid’s contribution at the Digital Humanism Conference
Why do we need a human-centred approach to digitalisation and AI? bidt director Ute Schmid is quoted in a new ORF article.
Ute Schmid in “Forschung & Lehre” on AI in education
In “Forschung & Lehre”, Ute Schmid talks about the potential applications and challenges of using AI in teaching.
Ethical implications of hybrid teams of humans and artificial intelligence systems (Ethyde)
The project investigates conditions for the design of trustworthy AI systems in cognitive psychology experiments and implements these prototypically as demonstrators.
ChatGPT in schools and universities — a turning point for learning and teaching?
The quality of ChatGPT was surprising at the beginning. The first effects on the German education system quickly became apparent. What developments can be expected? An interview with Ute Schmid and Dirk Heckmann.
Human-AI co-creation of code with different prior knowledge: Effects on performance and trust (pAIrProg)
The project explores the co-creation process of humans and AI in the context of creating program code by combining AI methods and approaches from experimental cognition research.
Thinking like a …
Content: Interdisciplinary work is hard: scientists from other disciplines have different problems, use different terminology, pursue different pathways to a solution and have different criteria for what makes a good solution.
Hot topics of digital transformation in 2023
Our experts provide an assessment of which topics will be relevant for digital transformation in 2023 and why.
FAZ guest article about the language AI ChatGPT
In a guest article in the FAZ, Alexander Pretschner, Eric Hilgendorf, Ute Schmid and Hannah Schmid-Petri explore the question of what follows from the language AI ChatGPT.
Machine learning
Machine learning means a computer programme learns from experience related to a certain class of tasks, and the execution related to those tasks improves with increasing experience.
Artificial intelligence
Artificial Intelligence describes the branch of computer science dealing with the development of computer algorithms for problems that we humans are still better at solving.
Digital Literacy for All!
In a data-driven world, data literacy, the understanding of the algorithmic processing of data, becomes a fundamental competence for digital literacy. This knowledge and the informed handling of new – for example AI-based…
The AI Scout
Ute Schmid’s research area lies at the interface of AI development and its application. The bidt director is committed to a partnership between people and technology.
Digital Learning at Primary School
Digital media can expand the didactic toolkit and hence teaching basic computer science concepts is a prerequisite for digital sovereignty, as Ute Schmid writes in her blog post.
“It’s always impressive to realise what humans can do – and machine learning cannot (yet) do.”
Prof. Ute Schmid joined the bidt directorate in February 2020. In the interview, she talks about her research and involvement at the institute.
Publications
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Generative LLMs in Content Analysis: A Practical Workflow for Communication Research
VortragProject: KI-JOURNALISMUS -
Trustworthy Artificial Intelligence: Comprehensible, Transparent and Correctable
Contribution / chapterISBN: 9783031453038Project: DigHab -
For What Tasks and Purpose Do Computer Science Students Use Code Generators: Preliminary Results of an Online-Study
Journal articleDOI: 10.20378/irb-107661Project: pAIrProg -
Human-AI Collaboration in Coding: A Trust Perspective
Conference paperhttps://doi.org/10.14279/eceasst.v84.2679Project: pAIrProg -
Für Lehrkräfte: KI ist nicht neutral – du kannst das ändern!
VortragProject: pAIrProg -
Copy, Paste, Trust?-Wie Codegeneratoren das Informatikstudium verändern
Newspaper articlehttps://inf.gi.de/10/copy-paste-trustProject: pAIrProg