In the first of a series of webinars discussing AI & Work, speakers from the University of Oxford and TUM Heilbronn Campus will examine whether we have the right skills to harness AI in the workplace of the future, and what industry, governments and academia can do to ensure we take advantage of the opportunities of AI while being mindful and aware of the risks.
Prof. Krcmar will discuss MÜNCHNER KREIS Future Study, Volume VIII: Life, Work, Education in 2035+. Analyzing the impact of artificial intelligence on central areas of life.
Dr Neuburger will discuss Competencies for Future Work.
Dr Frey will discuss how digital technologies are shaping the geography of work/spatial inequalities.
Prof. Lehdonvirta will discuss reskilling and what “AI skills” different professionals need based on preliminary findings from new research with Dr Fabian Stephany.
This collaboration is supported by the Dieter Schwarz Foundation.
Professor of Economic Sociology and Digital Social Research
Vili Lehdonvirta examines the politics and socio-economic impacts of digital technologies. He is one of the world's most cited authors on gig work and the platform economy. His current research deals with the geopolitics of digital infrastructures.
Director, Future of Work , Oxford Martin School, University of Oxford
Carl Benedikt Frey is Oxford Martin Citi Fellow at the University of Oxford where he directs the programme on the Future of Work at the Oxford Martin School.
Chair for Information Systems, Professor of Information Systems, Head of KrcmarLab at the Faculty of Informatics, Technical University of Munich (TUM), Delegate Officer of the President for the overall development of the TUM Campus Heilbronn
Helmut Krcmar is a German Information Systems and Management scholar. He conducts research in the fields of digital transformation, information and knowledge management, platform-based ecosystems.
Senior Lecturer at the Ludwig-Maximilians-Universität München, Munich School of Management
Dr. Neuburger's teaching and research focuses on implications of digitization and artificial intelligence for organization structures, leadership, work and education.
