KoVEKI

The research project KoVEKI – Competence-Oriented Methods for the Use of Artificial Intelligence in the Creative Industries connects the Design and Information Sciences departments at the University of Applied Sciences Potsdam. Together, they develop new forms of cooperative human–AI interaction tailored to the creative industries. The central question is how generative AI can be designed and taught in ways that augment — rather than replace — the creative, design-based, and data-related competencies of professionals.

The close collaboration between disciplines enables an innovative approach:

• Design contributes expertise in user interface and user experience design, creative working practices, and iterative design processes.
• Information Sciences provide knowledge about AI models, data workflows, explainability, transparency, and critical perspectives on technology.

From this transdisciplinary basis, the project develops novel interface concepts and AI-supported demonstrators that merge creative processes with data and AI methods. In addition, KoVEKI produces competence profiles, OER learning modules, and practical guidelines to support both current companies and future professionals in the region.

Contribution to the Goals of the State of Brandenburg

(innoBB 2025, innoBB 2025 Plus, Brandenburg AI Strategy)

KoVEKI directly supports key strategic objectives of the state:

• Cluster ICT, Media & Creative Industries:
  KoVEKI strengthens a core regional industry by transferring AI-based innovations into creative workflows.

• Regionalisation & Skills Development (innoBB 2025 Plus):
  Through OER materials, workshops, and active engagement with regional stakeholders, the project contributes to long-term workforce qualification.

• Digital Transformation & Work 4.0:
  KoVEKI promotes responsible, reflective AI usage and addresses future skill requirements in digitally transformed work environments.

• Technological Sovereignty:
  Open-source demonstrators, transparent development processes, and the use of European infrastructures (e.g., NHR) support regional independence in AI technologies.

• Innovation Capacity of the Capital Region:
  By combining technical and non-technical innovation, KoVEKI serves as a model project at the intersection of AI, design, and the creative industries.

Project Objectives

• Develop innovative interface concepts enabling cooperative, competence-oriented human–AI collaboration in creative workflows.
• Analyse value chains in the creative industries to identify how generative AI transforms work and what new competencies are required.
• Build and evaluate iterative demonstrators that integrate UI/UX design with state-of-the-art AI models.
• Create sustainable competence-building resources, including OER modules, workshops, and guidelines for practitioners and students.
• Strengthen regional knowledge and technology transfer between academia, industry, and creative networks in Brandenburg and Berlin.