The Program

Welcome

09:30 - 09:45 | Ratsplenarsaal | German

Julia Friedrich (Institute for Applied Informatics)

Keynote

09:45 - 10:30 | Ratsplenarsaal | German

Organizational mindshift for sustainable AI. For an integrated sustainability perspective across the entire ML lifecycle.

Dr. Anne Mollen (AW AlgorithmWatch gGmbH)

Vita

Dr. Anne Mollen is a Senior Research Associate at AlgorithmWatch. There she leads the project “SustAIn: The Sustainability Index for Artificial Intelligence”. In addition to the sustainability of AI, she is dedicated to the topics of automation and public opinion formation as well as the use of automated decision-making systems in the workplace. She also conducts research on sustainability and digitalization at the University of Münster.

AI supported knowledge management and learning

11:00 - 12:30 | Ratsplenarsaal | German

Chair: Amit Kirschenbaum (Institute for Applied Informatics)

This session is dedicated to the use of AI to support knowledge management and learning processes. The contributions present approaches to the use of various AI tools and techniques that can help to organize, share and use knowledge efficiently. The session also addresses challenges and potentials of AI-supported knowledge management and how this can contribute to lifelong learning.

• Lars-Peter Meyer (Institute for Applied Informatics): LLM-assisted Knowledge Graph Engineering: Experiments with ChatGPT
• Teresa Achtenberg (Hochschule der Bayerischen Wirtschaft (HDBW) gemeinnützige GmbH): APOLLO - Building an AI-based digital travel companion app for everybody's life-long learning journey
• Oluwatomiwa Oni-Orisan (Leipzig University): Viability of Knowledge Management Practices for a successful digital transformation in small- and medium-sized enterprises

Manufacturing and factories of the future

13:30 - 14:30 | Ratsplenarsaal | German

Chair: Jasmin Mayan (Institute for Applied Informatics)

This session is about the development and potentials of the manufacturing industry in times of AI. The contributions highlight the production of the future and topics that shape the innovation process, such as Industry 4.0, the Internet of Things (IoT) and robot-assisted automation. Examples of the use of AI in production, process optimization and quality control are presented.

• Amin Beikzadeh (University of Duisburg-Essen): Identification of Machine Learning Algorithms to Share Tacit Experimental Knowledge in Manual Production
• Franziska Theurich (Fraunhofer-Institut für Verkehrs- und Infrastruktursysteme IVI): An Application of AI for Online Estimation of the Impact of Imperfections in Additive Manufactured Components