Trust

© Fraunhofer FOKUS

Companies and government agencies need to earn the trust of their customers if they want to achieve long-term success with digital products and services. In the age of artificial intelligence, cloud services, and data-driven business models, it is not enough for technology to simply work. It must be verifiably secure, reliable, and compliant with data protection regulations – and it must meet ethical standards. That is precisely where we can help.

As an institute for applied research, we come with years of experience in data management, data quality, IT infrastructures, system quality, and certification. We act as an independent mediator and promote cross-vendor solutions.

Technological innovation can only realize its potential if people trust it. This trust is a key factor for the ability to act, social cohesion, and economic growth in Germany and Europe.

Our offer on this topic

Get in touch with our experts

Trustworthy artificial intelligence (AI)

AI systems are increasingly taking over decision-making, whether in industrial manufacturing processes, healthcare, or public administration. However, how can we ensure that these decisions are transparent and fair?

Fraunhofer FOKUS develops methods of explainable AI, for example, in the EU project XMANAI, to make decision-making processes transparent. 

Trust in Data 

To detect fake news, deepfakes, and manipulative content, Fraunhofer FOKUS works with linguistic AI models (Project Veritas) and on technical standards such as the C2PA protocol, which tracks the origin of digital media (FAMIUM Content Provenance & Authenticity solution).

Citizens must be able to trust that their data is protected – especially in public administration or sensitive areas such as healthcare. Only then will they use digital services.

Fraunhofer FOKUS develops solutions for trustworthy data spaces, e.g., with the PISTIS project, which enables secure data transfers. Data protection and user-friendliness are also key priorities in the development of trustworthy digital identities, e.g., with SmartID.

Transparent urban data platforms such as those in Jena or the Data Competence Center for Cities and Regions (DKSR) create trust in data-driven urban development through openness and participation.

Trust in interconnected systems

Modern IT infrastructures are highly interconnected – from the Internet of Things to cloud services to global supply chains. Trust in the reliability and security of these systems is crucial.

In the DOSS project, Fraunhofer FOKUS is working on secure IoT operations with supply chain control. In the field of autonomous and teleoperated driving (AINET project), our researchers are investigating how technological bridges – e.g., through human remote control – can create trust in new mobility concepts.

Trust also plays a central role in human-machine interaction: In a current project, we are analyzing user experience with mobile service robots – and how trust can be specifically promoted through design and behavior.

Trust is not a substitute for control

Trust in IT comes not only from intuitive use, but also from verifiable security and knowledge that enables risk assessment. This is challenging in an environment where technologies are changing rapidly. Evaluation and control mechanisms must be continuously adapted.

Fraunhofer FOKUS has extensive experience in software certification and is increasingly focusing on continuous, automated auditing to keep pace with dynamic developments. To this end, FOKUS researchers are also applying their experience in the field of cloud security (EU SEC project) to the quality assurance of AI-based software (IML4E project). In the CertLab, our experts support certification processes in accordance with international standards.

Our offer

Trustworthy AI

  • Explainable AI – XMANAI
  • Potential for explainable AI in digital administration (only in German) – ÖFIT Blogbeitrag

Trust in Data

  • Detection of fake news on health issues (only in German) – Veritas
  • Ensuring the authenticity of content – FAMIUM Content Provenance & Authenticity
  • Smartphone-based secure identities for global value chains – SmartID
  • Urban data platform for urban society – WISSENsAllmende Jena
  • Transparent urban data platforms – DKSR
  • Share, consolidate, and collaborate on data with confidence  – PISTIS
  • Automation of exchange processes for sensitive personal data – ADEP

 

Trust in interconnected systems

  • Secure-by-design Internet of Things operation with supply chain control – DOSS 
  • Confidence in autonomous driving across bridges Teleoperated driving (only in German) – AINET
  • Analysis of trust in interaction with a mobile service robot – Virtual Reality Check

Trust through verifiability

  • Audit support for CC certification procedures – CertLab
  • European framework for certification schemes and evaluation approaches to secure cloud infrastructures – EU SEC
  • Continuous quality monitoring throughout the entire lifecycle of AI-based software – IML4E  
 

Meet our experts

Talk to our experts at events held at our institute and at external conferences and trade fairs:

Information material

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Our experts

 

Andreas Hoffmann

  • Director of the business unit Quality Engineering 
  • Expert in quality assurance of software-intense systems with business-critical or security- and safety-relevant functions 

Phone +49 30 3463-7392

 

Dr.-Ing. Stefan Arbanowski

  • Director of the business unit Future Applications and Media
  • Expert in trustworthy data

Phone +49 30 3463-7197

 

Dr.-Ing. Stephan Steglich

  • Director of the business unit Future Applications and Media
  • Expert in trustworthy data

Phone +49 30 3463-7373

 

Dr. Jens Klessmann

  • Director of the business unit Digital Public Services
  • Expert in data infrastructures for the public sector

Phone +49 30 3463-7285