by Peter Kieseberg, Simon Tjoa (St. Pölten UAS) and Andreas Holzinger (University of Natural Resources and Life Sciences Vienna)

Artificial intelligence (AI) and especially machine learning offer a plethora of novel and interesting applications and will permeate our daily lives. Still, this also indicates that many developers will use AI without possessing deeper knowledge of the security caveats that might arise. In this article, we present a practical guide for the procurement of secure AI.

by Joan Baixauli, Mickael Stefas and Roderick McCall (Luxembourg Institute of Science and Technology)

Is it time to stop thinking about just augmented reality (AR) or virtual reality (VR)? Should we explore how we can connect different realities together to allow seamless experiences in real-time for work and pleasure?

by Philipp Brauner, Alexander Hick, Ralf Philipsen and Martina Ziefle (RWTH Aachen University, Germany)

With the advent of ChatGPT, LaMD, and other large language models, we wanted to find out what the public expects from artificial intelligence (AI). For a vast number of topics, we measured where the expected likelihood of occurrence is (im)balanced with the evaluation. The resulting criticality map can inform researchers and policy makers about areas in need of particular action.

by Michael Sonntag, René Mayrhofer (Johannes Kepler University Linz) and Stephan Schraml (AIT Austrian Institute of Technology GmbH)

The inspection of collector corridors or cable ducts requires permanent and large effort. Aiding (and in the future perhaps automating) this is important for many infrastructure operators. The INFRASPEC project [L1], a two-year project that started in December 2022, improves these periodic reviews by employing a mobile robot to automatically acquire the current physical state, check for missing/added objects and verify the absence of dangerous elements (e.g. gases).