WG 2: Future of Work and Human-Machine Interaction

Self-learning systems are changing our working environment fundamentally: Artificial Intelligence will support and relieve humans in areas such as manufacturing, regulatory work and social professions. There is reason to believe that jobs will be transformed substantially and that new skills are required. Cognitive, social and methodological abilities - such as independent learning, creativity, basic IT-knowledge or systematic thinking - are gaining in importance. Qualifying employees appropriately according to these new circumstances plays a key role. At the same time, humans will work even closer with machines through the use of self-learning systems. This will change our attitude towards technology profoundly. It is therefore crucial that the scientific advancement orientates itself towards the needs and abilities of us human beings.

Topics and Organisation of the Working Group

The Working Group focuses on human-centred design of the future working world and on human-machine interaction issues (HMI). At the same time the Working Group serves as the interface between HMI and the area of Manufacturing and Industrie 4.0.

Elisabeth André

Wilhelm Bauer

Members of the Working Group

  • Prof. Dr. phil. Lars Adolph
  • Federal Institute for Occupational Safety and Health
  • Prof. Dr.-Ing. Jan Christian Aurich
  • Technische Universität Kaiserslautern
  • Klaus Bauer
  • TRUMPF GmbH & Co. KG (Holding)
  • Nadine Bender
  • KUKA
  • Prof. Dr. Angelika C. Bullinger-Hoffmann
  • Chemnitz University of Technology
  • Prof. Dr.-Ing. Barbara Deml
  • Karlsruhe Institute of Technology (KIT)
  • Prof. Dr. Andreas Dengel
  • DFKI GmbH
  • Dr. Jan-Henning Fabian
  • ABB AG Forschungszentrum Deutschland
  • Prof. Dr. Michael Heister
  • Federal Institute for Vocational Education and Training
  • Dr. Norbert Huchler
  • Institut für Sozialwissenschaftliche Forschung e.V.
  • Dr. Nadine Müller
  • ver.di
  • Dr. Matthias Peissner
  • Fraunhofer Institute for Industrial Engineering IAO
  • Prof. Dr.-Ing. Annika Raatz
  • Leibniz University Hannover
  • Prof. Dr. Jürgen Roßmann
  • RWTH Aachen University
  • Prof. Dr. Christoph M. Schmidt
  • RWI – Leibniz Institute for Economic Research
  • Prof. Dr. Jochen Steil
  • Technische Universität Braunschweig
  • Prof.Dr.-Ing. Sascha Stowasser
  • Institute of Applied Industrial Engineering and Ergonomics
  • Oliver Suchy
  • German Trade Union Confederation
  • Jochen Werne
  • Prosegur Cash Services GmbH

We have received written consent from the listed persons for the publication of their data in accordance with the DSGVO. This list of members is an excerpt and will be completed continuously.

Key Questions for the Working Group

Work and Skilling

  • Which benefit do self-learning systems have for employees and companies?
  • Which consequences do they have for the working environment (e.g. job market, work intensification, job profiles)?
  • Which branches or occupations are affected the most?
  • Which new expertise is required for employees, when dealing with self-learning systems? What could be resulting qualification approaches?
  • How do we define ‘good’ and ‘humane’ work in the time of AI?
  • How can we shape the transformation towards a digital working environment?

Human-Machine Interaction

  • How can we shape the role allocation between human and machine concerning human self-determination?
  • Which principles are necessary/ desirable (keyword: human-centred-design/ interfaces)?
  • How can we guarantee transparency, controllability, explicability, privacy and maintainability of self-learning systems?
  • What does the future hold regarding the development of human-machine-interfaces?

Conclusions and Contributions of the Working Group

  • Publications

  • Application Scenarios

  • Videos

Information butler for the office

Norbert Huchler
Senior Researcher at the ISF Munich comments on the white paper of working group 2 (in German).

Michael Heister
Head of Departement in the Federal Institute for Vocational Training (BIBB) on how AI will transform the working world (in German).

Bernd Welz
Chief Knowledge Officer at SAP SE comments on the possibilities AI has to offer (in German).

Coordination of the Working Group at the Managing Office: Dr. Andreas Heindl