Living lab for the transfer of digital health applications and AI into healthcare
Between autonomy and surveillance – Employee-oriented people analytics in presence and remote work
People analytics applications are increasingly being used in various aspects of human resource management. These enable the automated analysis of HR data, combining it with business or external data, thereby promising to optimize work-related decisions, such as by providing information about employees’ performance and potential. Because of the increased remote work as a result of the COVID-19 pandemic, these applications are becoming even more important by empowering employers with supervisory capabilities despite physical distance. Relevant increasing work decentralization, possibilities for self-organization and an accompanying strengthening of employee autonomy are discussed, in addition to the application’s imminent surveillance potential.
The use of automated applications in human resource management presents challenges for businesses. Aside from technical and legal issues, ethical and social concerns stand out. A multi-method approach is used to examine two specific questions using qualitative and quantitative methods:
- How, if at all, does the perception of the use of people analytics differ among workers affected by the analyses in remote and face-to-face work use cases?
- What technical, individual, and organizational conditions encourage or inhibit the use of people analytics aimed at improving workers’ well-being and self-determination?
In addition to conducting workshops and transferring knowledge to society, the FZI is largely responsible for quantitative studies to look into the acceptance and perception of people analytics applications, particularly regarding the perceived intrusion into employees’ privacy. Possible distinctions between remote and face-to-face work usage contexts are also considered.
Division: Innovation, Strategy and Transfer
Applied Artificial Intelligence
In this research focus, the FZI prioritizes the topics of Artificial Intelligence (AI) as well as human and AI engineering. In addition, the FZI deals with questions on dedicated AI hardware and predictive AI.
Safety, Security and the Law
The FZI focuses in this research area on the topics of resilience for critical infrastructures, managing security, legal tech and (post-)quantum cryptography, and also deals with the mutual influence of artificial intelligence on safety and security.