LU Leipzig will host the GOR Workshop of the Working Groups “Financial Management and Investment” and “Fuzzy Systems, Neural Networks, and Artificial Intelligence”. The public an our students are warmly invited to attend any session you may find interesting. We have several talks from colleagues from LU Leipzig.
Topic:
Successful and Trustworthy AI
Room: 726 (7th floor on campus)
Participants:
Michael H. Breitner (Leibniz University Hannover)
Michael H. Breitner is Professor of Information Systems at Leibniz University Hannover and conducts research on artificial intelligence, machine learning, and digital transformation in areas such as energy, mobility, and digital services. His work focuses on how AI systems are designed and implemented in real-world organizations.
Hans-Jörg v. Mettenheim (IPAG Business School / Keynum.ai)
Hans-Jörg von Mettenheim is Professor of Quantitative Finance at IPAG Business School and co-founder of the AI analytics company Keynum.ai. His research focuses on data science, neural networks, and AI-driven forecasting and decision-making in finance.
Thomas Schmid (Lancaster University)
Juniorprofessor Thomas Schmid is Lecturer at the Lancaster University Leipzig, chair and co-founder of the LEISYS conference and co-author of the book Künstliche Intelligenz managen und verstehen. He regularly contributes to international conferences and journals on AI, including work on medical applications of artificial intelligence.
Sarah K. Lier (Leibniz University Hannover)
Sarah K. Lier is a researcher at the Institute of Information Systems at Leibniz University Hannover working on ethical and explainable AI. Her research examines how trustworthy AI systems can be implemented in practice, including applications in areas such as energy systems and cybersecurity.
Artur Klingbeil (Martin Luther University Halle-Wittenberg)
Artur Klingbeil researches trust in artificial intelligence and human–AI interaction at Martin Luther University Halle-Wittenberg. E.g. he examined the topic in his 2024 article “Trust and reliance on AI—An experimental study on the extent and costs of overreliance on AI.”
About GOR:
The German Operations Research Society (Gesellschaft für Operations Research, GOR e.V.) has a longstanding tradition beginning with the “Arbeitskreis Operations Research (est. 1956)” and the “Deutsche Gesellschaft für Unternehmensforschung (est. 1961)”, and eventually led to the GOR as it is today. The GOR now represents around 1,200 members consisting of individuals and institutions from academia, industry and management. The working group Financial Management and Investments as well as the working group on Fuzzy Systems, Neural Networks, and Artificial Intelligence are among the oldest working groups within the GOR working on a broad range of topics with a strong focus on quantitative research.
