RAPID project successfully submitted

As part of its Science and Innovation Strategy (WISS) 2030, the state of Salzburg has set specific priorities in the field of digital transformation with its call for proposals “AI Research Salzburg 2025.” The call for proposals was aimed at researchers from Salzburg’s universities and non-university research institutions who wish to carry out interdisciplinary projects at the interface between basic research and application-oriented research.

The submitted projects were evaluated by an international jury, and the RAPID project was successful.

RAPID: Reliable AI for Public Law and Intelligent Decision-making
Project lead: Sebastian Krempelmeier, Paris Lodron University of Salzburg (PLUS) / Department of Public Law
Project partner: Frank Pallas, Paris Lodron University of Salzburg (PLUS) / Exdigit

RAPID investigates the potential of artificial intelligence (AI) in public administration.
Using concrete application examples, the legal framework and technical possibilities for the use of large language models (LLMs) in administration are analyzed. The focus is on the automation of repetitive tasks, e.g., checking the completeness of applications for heating subsidies or housing allowances. In the process, different data protection-friendly LLMs with their respective strengths and weaknesses are researched and evaluated in an interdisciplinary manner.
On the part of the DAS faculty, extensive experimental and prototype-based investigations into administration-specific LLM adaptation, which also meets the special legal requirements prevailing in this field, are being carried out.

With its interdisciplinary collaboration between legal and digital sciences, RAPID is also another result of the Exdigit initiative funded by the state of Salzburg.

The DAS Faculty has also been successful with the following two projects:

INSPIRE: Intelligent Novel Support for Personalized Instruction and Robust Evaluation in STEM Lessons at Primary School.
Project lead: Christina Egger, Salzburg University of Education (PH Salzburg)
Project partner: Simon Hirländer, Paris Lodron University of Salzburg (PLUS)

CANVAS: Craquelure Analysis via Neural Vision and Surface Scanning
Project lead: Christoph von Hagke, Paris Lodron Universität Salzburg (PLUS)
Project partner: Andreas Uhl, Paris Lodron Universität Salzburg (PLUS)