Topic: Digital responsibility
The digital transformation in all areas of life leads to ethical and legal issues when digital technologies are used for the common good, ranging from ensuring digital participation to data security.
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.
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.
bidt meets re:publica
Our researchers will be represented at this year’s re:publica with talks and panels on digitalisation. The festival for the digital society in 2025 has the motto “Generation XYZ”.
FAZ guest article on the importance of social media for freedom of expression
In their FAZ guest article, Thomas Hess and Julian Nida-Rümelin, Jan Schillmöller and Andreas Wenninger explore the role social media play in rational discourse in an enlightened democracy.
Asking the right questions: Tips for better AI answers
How can you achieve better results with the right prompts? This article provides an overview of key terms, strategies and application examples relating to generative AI and language-based models.
“We want to understand where AI tutors can be put to good use”
In this interview, Professor Alexander Pretschner talks about the AI assistance system OneTutor and where AI tutors can be put to good use.
From Awareness to Action: Addressing Discrimination and Power in Academia
Academia is deeply intertwined with power structures and discrimination, shaping not only institutional cultures and career trajectories but also research theory and methodologies. This interactive workshop will critically…
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.
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.