research focus Humans and Generative Artificial Intelligence: Trust in Co-Creation
The research focus “Humans and Generative Artificial Intelligence: Trust in Co-Creation” is dedicated to the question of the conditions under which people trust or could trust in the interaction with generative AI and the resulting products – and when not.
Research focus: Generative AI
Generative artificial intelligence (AI) refers to technical systems that can autonomously create texts and multimedia content in response to specific inputs. Generative AI has the potential to transform our lives, from art and software engineering to work processes, job profiles, medicine, education and science. At the same time, generative AI presents us with a variety of challenges, for example with regard to the quality or truthfulness of the products created.
When generative AI is used as an assistance system, humans and technology have three potential points of contact: They can produce something together and create images and texts, for example. They can interact with AI and create value through the interaction itself, e.g. in therapy or teaching. When people consume or use products created by AI, the focus is on reception. In all cases, we see the concept of trust as essential for the success of these endeavours.
Announcements
Sonja Niemann und Professor Ute Schmid in “Informatik-Magazin”
How widespread are AI code generators among computer science students? In their article “Copy, paste, trust” in Informatik-Magazin, Sonja Niemann and Professor Ute Schmid get to the bottom of the question. Read article (in German)
Interdisciplinary Symposium on Cognitive Aspects of Trust in Human-AI Teams at KogWis 2025
As part of KogWis 2025 (Conference of the Gesellschaft für Kognitionswissenschaft, the German Cognitive Science Society), the bidt-project Ethyde will host an interdisciplinary symposium on September 1, 2025, from 10:30 AM to 12:30 PM at Ruhr University Bochum. Four contributions from the fields of computer science, psychology, and behavioral ethics will address topics such as the technical implementation of explainable AI, psychological factors influencing trust, and ethical foundations for successful human-AI interaction. Further information
Experimental study findings of the “AI-JOURNALISM”, project presented at the 75th Annual International Communication Association ICA Conference
Prof. Dr. Hannah Schmid-Petri and Daria Kravets-Meinke presented initial findings from the AI-JOURNALISM project at the 75th Annual Conference of the International Communication Association (ICA) in Denver, USA. In the presentations titled ‘Artificial Intelligence as a Trustworthy Journalist? Effects of AI Authorship on News Selection’ and ‘Generative AI in Journalism: How Individual Differences Shape Attitudes Toward AI and Influence Credibility Perceptions,’ findings from two experimental studies on the perception of AI-generated news were shared.
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Prof. Dr. Hannah Schmid-Petri
Member of bidt's Board of Directors | Chair of Science Communication, University of Passau
Internal Research Projects
Human-AI co-creation of code with different prior knowledge
The interdisciplinary project “Human-AI co-creation of code with different prior knowledge: Effects on performance and trust” explores the co-creation process of humans and AI in the context of creating programme code. The focus is on the design of trustworthy interfaces for the use of co-generators in programming training and professional software development.
Project team
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
AI in Journalism: The Impact of Generative AI on Objectivity and Dialogic Openness in Climate Debates
The project “AI in Journalism: The Impact of Generative AI on Objectivity and Dialogic Openness in Climate Debates” is investigating the extent to which AI in the field of climate protection can help to increase the willingness to accept messages and promote factual debate with counter-arguments.
project team
Prof. Dr. Hannah Schmid-Petri
Member of bidt's Board of Directors | Chair of Science Communication, University of Passau
Legal uncertainty through generative AI? Reform considerations for the promotion of system trust at universities
In addition to the legal analysis of higher education and examination law, the project “Legal uncertainty through generative AI? Reform considerations for the promotion of system trust at universities” also addresses the question of how universities could or should react and adapt in practice.
project team
Prof. Dr. Dirk Heckmann
Member of bidt's Board of Directors | Chair of Law and Security in Digital Transformation, Technical University of Munich
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