Research Focus: Generative AI
Legal uncertainty through generative AI? Reform considerations for the promotion of system trust at universities. Academic framework for fair AI regulation in exams (AFFAIRE)
This research project examines the possibilities for universities to use AI in exams and to prepare students for a digital working world.
AI-Aided Design: Generative AI as a Co-Creation Tool (AI-AD)
The project investigates the development and use of generative AI to support designers in the design of 3D objects that may be realised by 3D printing.
AI in Journalism: The Impact of Generative AI on Objectivity and Dialogic Openness in Climate Debates (KI-JOURNALISMUS)
The project is investigating how AI in climate protection can help to increase the willingness to accept messages and promote an objective debate with counter-arguments.
Human-Centered Specification-Driven Software Engineering with Generative AI (AI-SPEC2SW)
The project explores a specification-driven approach to software development that eliminates the need for programming skills, aiming to empower individuals to design digital technologies and thereby enhance the digital sovereignty…
Algorithmic Bias From a User Perspective: Assessment, Impact, Interventions (ADUBAI)
Texts and pictures created with generative AI can be heavily biased against women and minorities. The aim of this project is to gain insight into the phenomenon, its effects, and potential countermeasures.
How “human” should justice be? Psychological determinants of trust in co-creation with generative AI in the context of the legal system (Gerechte KI)
The project analyses psychological processes that foster or hinder trust in generative AI in legal contexts and examines the acceptance and perspectives of various actors.
Self-Regulated and skilled interaction with generative AI: Diagnosis and training (SekoKI)
From the perspective of self-regulated learning, the project investigates which competences students have for interacting with generative AI and how they use them.
Generative Artificial Intelligence in Elections: Uses, Preferences, and Trust (AI-Wahlkampf)
The project analyses how German political parties use generative AI, its influence on election campaigns and on public trust.
Trustworthy Generative AI Copilots for Data Analytics in Business Decision-Making (GenAICopilot)
The project investigates the design of trustworthy generative AI copilots and their influence on the business decisions of users without a technical background.
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.