We maximize technical stability and data security by increasing the expertise that an AI considers in its decision-making processes through hybrid modeling and other theory-inspired approaches. In doing so, we are also creating a next generation of digital twins.
Transparency creates trust. However, AI applications are based on complex algorithms, which naturally makes them difficult to understand. Where it is crucial, we therefore incorporate elements of Explainable AI into the applications so that users can see and understand decision-making processes.
Diversity, non-discrimination and fairness are crucial characteristics for AI applications to be accepted in a social context. We identify biases in algorithms and ensure that they do not play a role in decision-making.
Data security and data governance are our top priority! Our experts are among the best in the world in long-term secure (quantum computer safe) cryptographic processes. Only with absolutely secure data can we implement groundbreaking innovations in companies.
To ensure responsibility and accountability in AI applications, certifications will increasingly emerge in the coming years. Through our close networking with science and EU initiatives and bodies, we also ensure for our customers that AI applications meet the highest standards.
In order for users to trust AI, human agency and human oversight must be available at all times. We work with methods of human-machine communication and immersive analytics so that users can constantly maintain an overview and switch between the physical and digital worlds.
As a leading center of excellence in trustworthy artificial intelligence, we are working on answers and solutions that will affect the future challenges of society and industry.
Recommendation systems are ubiquitous in our digital world, influencing our…
As a European leader in trusted AI, we are part of a large network of companies, top researchers, organizations and institutions, and AI pioneers across Europe.
social & environmental benefits
Not only in the manufacturing industry, but also in the most important and for the future crucial social fields such as medicine, pharmacy and health, environment & sustainability, the use of the potential of data can become a “game changer”.