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Work in the Age of Artificial Intelligence

Challenges and Potentials for the Design of New Forms of Human-Machine Interaction
: Bauer, Wilhelm; Vocke, Christian


Kantola, Jussi Ilari (Ed.):
Advances in human factors, business management and leadership : Proceedings of the AHFE 2019 International Conference on Human Factors, Business Management and Society, and the AHFE International Conference on Human Factors in Management and Leadership, July 24-28, 2019, Washington, D.C., USA
Cham: Springer Nature, 2020 (Advances in Intelligent Systems and Computing 961)
ISBN: 978-3-030-20153-1 (Print)
ISBN: 978-3-030-20154-8 (Online)
International Conference on Human Factors, Business Management and Society <2019, Washington/DC>
International Conference on Human Factors in Management and Leadership <2019, Washington/DC>
Conference Paper
Fraunhofer IAO ()

In times of digital transformation, enterprises are facing great challenges in terms of management and work organization. In particular, the rapid progress in the field of artificial intelligence and cognitive systems requires a rethinking of by whom and how work activities will carried out in the future. The automation of routine processes and intelligent algorithms in some cases even allow new approaches and perspectives. For not only machines or intelligent algorithms are going to execute tasks, new forms of human-machine interaction represent valuable enablers of positioning the central role of humans. Therefore, it does not only require technological but also cultural development. By using new technologies and methods, tasks and jobs will change in the future: qualification requirements will transform, previous jobs will be lost and new job profiles will emerge. The demand for highly qualified staff will greatly increase. Especially digital competence will be in more demand than ever as will be the ability to control complexity and human creativity. Nevertheless, how to get there and how to create the missing socio-technological link? In this paper, the authors present selected currently available technological solutions in the field of artificial intelligence leading to new forms of human-machine interaction. In addition, the authors point out future demands on the skills of both employees and managers as well as appropriate training opportunities.