About this course
The rise of Generative Artificial Intelligence (GAI) has significant economic potential across all sectors of industry and public administration. It is considered the next productivity and work frontier for increased growth potential and labor productivity across the economy, engendering added value creation in key business areas. However, a variety of risks for privacy and security have created some key dilemmas in using AI in the dissolution of truth and in fake generation and fake authenticity. We will examine Scandinavian business cases to explore the need for reinventing internal management practices and finding new ways to cope with the consequences of using Generative AI for the organization of work. We will use this insight to analyze the significant geopolitical challenges for businesses and society of Generative AI.
Syllabus
Faculty
Kristian Sørensen
FacultyCand. polit. (Economic and Social Science, University of Copenhagen). Former Director at United Nations Development Program (UNDP) in NY. Head of Dialogue Development, carrying out consultancy services for mostly EU in Eastern Europe, Russia and the Middle East. External Lecturer in International Business at Copenhagen Business School (CBS). With DIS since 2011.
Ralph Cadan
FacultyCand.Polit, Copenhagen University, 1988. VP Strategy and Business Development, NETS & MasterCard, 2016-2020. With DIS since 2022.
Private: Ulrich Andreas Mortensen
FacultyPh.D. in Mechanics and Material Science, Technical University of Denmark (2019). Previous experience as Postdoctoral Fellow at DTU Wind Energy. Conducted research in Composite Materials and Materials Mechanics with focus on multi-physics Numerical Modelling of Materials Manufacturing. M.Sc. in Engineering Design and Applied Mechanics from the Technical University of Denmark (2016). With DIS since 2022.
Nicolai Frost Kolborg Jacobsen
FacultyHead of Data Science at Corti (2019–present), leading a team to build a system that leverages Automatic Speech Recognition output to measure call quality. M.Sc. Dual Degree in Data Science, Technical University of Denmark & Korea Advanced Institute of Science and Technology (2017 and 2018, respectively). B.Sc. in Natural Science and IT, University of Copenhagen (2015).. Previous experience building forecasting models as Data Scientist at Scales (2018) and optimized equipment distribution with Python and integer programming as Business Intelligence Consultant at IQVIA (2015–2018). With DIS since 2022.
Matthias Heumesser
FacultyPh.D. in Atmospheric Physics, Marie Skłodowska-Curie Fellow, Technical University of Denmark (2021). Currently leads development of custom car and charger integrations for a smart charging platform as Development Team Lead at True Energy A/S (2022–present). Previous experience developing NLP models for question and implied information detection in emergency calls as Software Developer at Corti (2021–2022). With DIS since 2023.
Magnus Sletfjerding
FacultyCand.Scient.Chem, Nanoscience, Copenhagen University, 2021. Ph.D. Student, UCPH, 2019-2020. Machine Learning Engineer, Corti, 2020-Present. With DIS since 2023.