So far, there are no constructional and technical standards that meet the needs of users and support the implementation of modern prisons in Austria through efficient, safe constructional and technical (digital) measures. This project** has set itself the goal of developing structural and technical measures that build on the status quo of 23 prisons, are coordinated with all relevant stakeholders and incorporate the needs, problems and use cases of all user groups (prison management, employees and inmates). These sustainable constructional and technical (digital) standards are incorporated into a practice-oriented planning catalog for clients and implementers. This enables efficient implementation of tenders and construction projects for the modernization of prisons. The project significantly advances the digital transformation for the penal system in the sense of “rule of law through technology design”. This is the consistent continuation of innovative technology design by Fa. App informatics enabled. Economically, it strengthens the visibility of technical expertise for future consulting related to technology applications in the public sector. The project will build up corresponding R&D know-how and sales-relevant cooperation with important market participants.

**Project funded by FFG, FO999895190

Care work in long-term care is a human-centred activity that requires empathy, physical closeness and trusting relationships between different caregivers and care recipients. In recent years, artificial intelligence (AI) has been increasingly used in care systems to support professional caregivers in their daily activities and to provide care recipients with an additional level of safety. Despite the increasing prevalence of AI in care, few studies have addressed the bias of algorithmic systems in this field. By linking multiple Big Data sets, AI can set in motion unfair and non-transparent decision-making processes that lead to discriminatory care practices in practice.

The aim of the project* is to investigate the potential bias of algorithm-driven care technologies in their impact on long-term care. Findings from qualitative case studies in long-term care provide the basis for a differentiated understanding of the effects and needs of care in relation to AI systems. Care in relation to AI systems. Based on these findings, the project investigates the utility value of XAI (explainable AI) methods (trustworthiness, fairness, transparency) and different levels of transparency in their applicability to care systems.

*Research project AlgoCare (WWTF project) under the direction of Dr. Kampel at the TU Vienna

To ensure trustworthy AI, we conduct audits and assess AI applications and algorithms using professional checklists and guidelines. In the analysis, we distinguish between pre-processing, in-processing and post-processing.

Pre-processing methods examine the training data with regard to bias. In-processing describes techniques that analyse the network architecture. The goal of post-processing is to understand the result of a learning algorithm, provided that the trained model is a black box and the training or learning algorithm cannot be changed. The transparency of the AI system is of particular importance.

The aim of the Trustworthy AI project* is to develop tools, guidelines and criteria for the implementation of harmonised regulations for artificial intelligence and for the evaluation of given AI solutions. An auditing and certification process for Trustworthy AI will be created to ensure that AI systems used are secure and respect existing fundamental rights. Similar to the processes of a GDPR audit for compliance with data protection rules, a Trustworthy AI audit covers and evaluates algorithms, data, design processes and the use of an AI system from a technical and social science point of view.

The result is recorded in a certificate on the reliability, transparency and security of the AI application and the AI algorithms.

Learn more on our website: CertifiedAi.eu

* Project funded by the Vienna Business Agency. A fund of the City of Vienna. Project partners: Vienna Centre for Societal Security, VICESSE

Dr. Kampel, ZT is the founder and managing partner of app informatics zt GmbH. He is also a Senior Scientist at the Institute for Visual Computing & Human Centered Technology, Vienna University of Technology.

He studied data technology and computer science, obtained his doctorate with distinction and habilitated in practical computer science at the Faculty of Computer Science at the Vienna University of Technology. As a computer scientist at the interface between research and development, Dr Kampel specialises in interdisciplinary issues of practical computer science, especially visual computing and artificial intelligence, as well as ethics and digital transformation.

He is an international reviewer and examiner of scientific and commercial projects, an engineering consultant for computer science, and a sworn and court-certified expert for ICT.

Prof. Sablatnig is the founder and shareholder of app informatics zt Gmbh. He is also a member of the board of the Institute for Visual Computing & Human Centered Technology at the Vienna University of Technology, where he is active in research and teaching in the field of Computer Vision & AI.

He studied computer science with a focus on visual computing at the Vienna University of Technology, where he has been an associate professor for computer vision since 2003. From 2005 to 2017 he was head of the Institute for Computer-Aided Automation. Since 2010, he has headed the Computer Vision Lab, which is part of the Institute for Visual Computing & Human-Centered Technology founded in 2018, which he has headed since 2019. By leading and coordinating more than 30 industry-relevant and academic research projects, he applies basic research in an application-oriented way. He is an international reviewer and examiner of scientific and commercial projects, actively involved in the international research landscape, on the board of the Austrian Working Group for Pattern Recognition, represents Austria on the board of the International Working Group for Pattern Recognition, and is a sworn and court-certified expert in computer vision.