Category: Promoted
AI-Aided Design: Generative AI as a Co-Creation Tool
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.
Human-Centered Specification-Driven Software Engineering with Generative AI
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
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
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
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
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
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
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
The project investigates the design of trustworthy generative AI copilots and their influence on the business decisions of users without a technical background.
Resilience by orchestrating citizen-driven innovation through digital platforms in urban-rural constellations (ROBIN)
We are investigating how the resilience of municipalities in their respective regional interdependencies can be improved by orchestrating citizen-driven innovation. The focus is on exploring design knowledge.