Know Center Research

Digital Transformation Design

How does the use of machine learning and AI affect psychological and social processes? How can we design AI that ideally helps people make better decisions, reflect and learn?

Digital Transformation Design

Research Focus

The Digital Transformation Design research area develops novel methods and (technological) tools for processes that provide the best possible support for people, companies, and society in shaping digital transformation. Whether an AI is accepted as trustworthy also depends on how transparent, secure, and comprehensible the processes behind it are. We are pursuing the vision of an AI-based technology that brings different stakeholders of companies, institutions, or society into dialog with each other and thus enables new, constructive social processes.
Data and AI in Business Models

The use of AI is giving rise to new business models. We test and develop methods and decision-making tools for such business models to consider not only the business but also the social and individual psychological components during implementation. This is important so that AI is also accepted by people.

Tools for Responsible and Traceable Co-Design

We develop AI-supported methods and decision support tools for the design of sociotechnical interventions. Trustworthy AI is essential for this to ensure accountability, transparency, and traceability.

Educational Technology

The rapid pace of technological development demands lifelong, on-the-job learning. Trusted AI can actively support this through reflective, conversational applications and help employees feel more self-efficient and active!

Potential

Shaping digital transformation

Our AI applications are designed and implemented so that the design, the provision of the right information at the right time, the guidance by the system, and social processes are optimally supported. In this way, trustworthy AI can promote exchange and reflection processes and facilitate lifelong learning!
Holistic design of Trustworthy AI solutions

We involve all stakeholders in projects, listen to challenges and concerns and thus develop trustworthy AI applications that not only generate competitive advantages but are handy for employees, customers and other stakeholders.

Socio-technical co-design

When developing new technologies, we record and consider, how these technologies are received by the users, how they change the existing work or life context, and how certain activities can be carried out with them in new ways. This aids the decentralized decision-making processes in agile companies.

Competence-oriented personnel development

Competence-oriented personnel development

On-the-job training

We develop digital agents (“Conversational Agents”) as learning companions for different topics and fields of application. Our application designs promote reflection and personal engagement (“Reflective Learning”) and delivers exactly the content that is needed at the time.

Find and test data driven business models

We continuously develop and test innovative, sustainable and circular business models for companies. Our applications support the associated change process, in which process owners and employees receive data-based support in making the right decisions and involving the correct people. For this purpose, we use our custom tools and methods, which are continuously being developed.