Footnote:
Veröffentlichungsversion
begutachtet (peer reviewed)
In: TATuP - Zeitschrift für Technikfolgenabschätzung in Theorie und Praxis / Journal for Technology Assessment in Theory and Practice ; 32 (2023) 2 ; 43-49
Description:
The use of artificial intelligence (AI) as an innovation driver is increasingly gaining importance among small and medium-sized manufacturing enterprises. In order to enable a successful AI implementation, both the business requirements and the needs of human resources must be considered. One construct that brings these dimensions together is the concept of work ability. So far, there is little scientific evidence addressing work ability in the context of AI implementation. Therefore, this article aims to create a multidimensional framework using the results of a qualitative study on employee-friendly implementation of AI-based systems. The framework combines central aspects (implementation stage, AI-autonomy level, and work ability) and helps to identify suitable recommendations for companies to increase acceptance and trust in the implementation process. Based on the developed framework, a first version of a socio-technical AI support tool has been created.