Towards a maturity model of human-centered AI – A reference for AI implementation at the workplace

Abstract

In our paper we present first performance measurement results of a digital simulation laboratory, which is applied in the context of industrial front-end team training. The design of the simulation laboratory is oriented towards an Escape Room. First, we situate the presented approach within existing competency understandings and accompanying training approaches in the context of Industry 4.0 Performance measurement for front-end training has been a challenge in this context so far, since performance, unlike in the back-end, is not attributable to specific production results, but becomes visible on a superior process level. Building on the competency facets of complexity management, self-reflection, creative problem solving, and cooperation (Wilkens et al., 2017) as well as action implementation (Heyse & Erpenbeck, 2009), the performance measurement presented addresses the question which individual competencies have an impact on team performance in the simulation scenario. Preliminary results show that the individual competencies among team members have a lower impact on performance than moderating factors such as heterogeneity and cohesion within the team. In order to increase the performance of front-end teams, it therefore appears to be reasonable to focus more on developing team structures rather than only on individual competence development.

Enhancing digital transformation in SMEs with a multi-stakeholder approach – Implications from a socio-technical systems perspective

“…I. The perspective reflecting on the human-centricity in job design (Wilkens et al 2021a). This is the way to address the transformation challenge from a sociomaterial perspective.…”

“…The maturity model for human-centred job design (Wilkens et al 2021a) allows to identify, at an early stage of development, which necessary and sufficient conditions in a concrete AI-enabled workplace are central to guarantee human-centricity in the specific job domain. This determination is made from the perspective of the AI users, focusing on the concrete work process within the actual organizational conditions.…”

“…Maturity models are widespread approaches to support the dialogue and transfer from research to practise as they aim at systemizing academic knowledge for practical application. Some of them neglect the non-technological issues (Aronsson et al 2021) while others explore a broader view on relevant dimensions (Lichtenthaler 2020, Wilkens et al 2021a). However, the implementation journeys in practice tend to follow a narrow approach giving primarily emphasis to technological issues.…”

The Job Perception Inventory: considering human factors and needs in the design of human–AI work

“…To realize such a human-centered implementation strategy in organizations, they need understandable, easy-to-use, and scientifically founded methods and tools that guide them to human–AI teaming. Current approaches to accompany a human-centered AI implementation are mostly on a theory-based level (e.g., Degen and Ntoa, 2021 ; Wilkens et al, 2021 ; Tjondronegoro et al, 2022 ). However, a practically applied method that captures relevant aspects in the context of AI introductions and allows us to derive a human-centered implementation strategy in terms of a human–AI teaming workplace does not exist.…”

Configurations of human-centered AI at work: seven actor-structure engagements in organizations

“…Scholars elaborate on the meaning of human-centricity either of AI as a technology (Zhu et al, 2018;Ploug and Holm, 2020;How et al, 2020b), AI applications related to the work context (Jarrahi, 2018;Wilson and Daugherty, 2018;Gu et al, 2021), or job characteristics of work contexts in which AI applications are implemented (Romero et al, 2016;Kluge et al, 2021;Parker and Grote, 2022). Systematic overviews on these criteria show that contributing researchers are from a wide range of disciplines and include certain use fields such as healthcare, manufacturing, education, or administration, as well as the work processes of software development itself (Wilkens et al, 2021a). The thematic foci vary depending on the discipline and field of use.…”