Machine-based learning and learning assistance systems

Technical assistance systems increasingly accompany us in everyday life and in the workplace and are making ever greater use of machine-based learning methods. The aim is for innovative interfaces between humans and machines to enable us to deal with technology intuitively. This article highlights the practice of such systems. It also looks at possible changes in tasks, roles, and hierarchies and at the issue of whether new requirements for workers can be identified. It reveals that multifarious risks and opportunities offer possibilities to shape the world of work while also demanding careful considerations.