Archive: Research Projects
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.
For the Greater Good? Deepfakes in Criminal Prosecution (FoGG)
The project brings together expertise from criminal law, law enforcement, business informatics and philosophy to examine the question of under what circumstances and to what extent the use of AI and deepfakes in law enforcement…
Authoritarian AI: How Large Language Models (LLMs) Align With Russia’s Propaganda (AI-PROP)
This project investigates how, and with what consequences, are LLMs developed under strict oversight and censorship in contemporary Russia. And what impact do authoritarian data (tainted by censorship) have as they are fed into…
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.