Building permit procedures are complex. This project analysed the
capabilities of AI models in reviewing building application and
developed a prototype for an AI-based preliminary check of solar
installations, heat pumps and charging stations. The findings provide
local authorities and suppliers with valuable insights for digital
transformation in the construction sector.

Many bridges are decades old and still primarily inspected visually. This project tests AI-powered sensors that continuously monitor the
vibration behaviour of bridges. This enables early detection of
structural fatigue and allows for informed assessments of load-bearing capacity. The data-driven approach aims to extend the service life of bridges and make maintenance more efficient.

Diagnosing eye diseases is complex and requires specialist expertise. This project develops an AI-based approach for detecting diabetic retinopathy and investigates how AI can be reliably integrated into
clinical routines. In addition to medical advancements, the project offers practical recommendations that can be transferred to other disciplines such as radiology or dermatology.

For many Swiss robotics companies, access to the EU market is crucial – yet regulatory complexity is increasing. This project analyses key
legislative frameworks such as the AI Act, the Machinery Regulation, the Cyber Resilience Act, and the Data Act, and demonstrates how
companies can effectively navigate these various requirements.
In addition, the project tests AI governance software designed to help firms efficiently implement technical, legal, and organisational
standards – for example, those set out in ISO 42001.

In healthcare, documentation requirements generate a lot of
administrative work. This project shows how speech recognition and large language models (LLMs) can reduce this workload. At the same time, it examines the legal framework – for example, with regard to data protection, professional secrecy and cloud use – and clarifies when such systems are considered medical devices. The aim is to develop concrete best practices for the safe and responsible use of AI in
medical documentation.

A growing number of autonomous systems such as self-driving tractors or lawn mowers will potentially be used in public spaces. In many cases, the general regulatory environment in areas such as
standardisation, admission to public roads or data protection are not clear to manufacturers. This project is focused on developing
comprehensive guidelines that provide manufacturers with an overview of the most relevant factors.

Maintenance of infrastructure, such as bridges, roads or pylons, is
often carried out by human staff. Many of the tasks involved are
time-consuming and, in some cases, dangerous. This project is centred on creating high-resolution drone images to detect cracks and damage on airport runways.

Education is increasingly supported by AI, including at elementary level. The basic legal parameters, e.g. in the domain of data protection, are to some extent unclear to providers, teachers, parents and pupils. This project focuses on clarifying the legal bases for use of image
recognition for the automated correction of handwritten schoolwork.

Many public administration offices deal with multiple languages in their daily work. The potential for machine translations is significant. As their work often involves sensitive information and use of specific technical terminology, the question arises as to whether generic and publicly
accessible translation tools may and should be used. This project
focuses oncoming up with recommendations for the use of machine translation. The case studies stem from the Commercial Register Office and the Integration Office.

Parking management is a highly significant challenge for many cities and municipalities. Relevant data on utilization and occupancy of
parking spaces is often lacking. That hinders informed decision-making on traffic planning or the introduction of parking guidance systems.
AI-based image recognition can create the necessary data basis for this. In this project, privacy-by-design measures are being developed for the responsible use of camera systems in public spaces.