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The learning scenarios provide practical demonstrations of the benefits of AI for process optimisation and raise awareness of the importance of a human-centred approach when introducing such technologies. Through realistic simulations in a risk-free environment, they enable companies to experience the benefits of a human-centred approach to work design in a sustainable way and to integrate these into their own processes.
Development status
Scientific basis
Development and implementation
Initial field trials
Evaluation and optimisation
Ready for practical use
What problem do many companies face?
In many organisations, there is a lack of clarity regarding how AI can be used effectively as a means of process optimisation. Although AI systems may already have been implemented, the hoped-for improvements often fail to materialise, leading to dissatisfaction amongst staff. Furthermore, many decision-makers are unaware of the potential of a human-centred approach to increasing the acceptance and efficiency of AI applications, which makes the successful integration of such technologies more difficult.
How does the tool help to solve the problem?
The learning scenarios help to solve the problem by presenting practical and realistic training formats that illustrate the benefits of AI for process optimisation and raise awareness of the importance of a human-centred approach. For example, they enable participants to experience the effects of AI systems with and without a human-centred approach in a risk-free environment and to understand the benefits of human-centred approaches.
How is the tool used within the company?
The learning scenarios are not applied directly within organisations, but serve as the basis for practical learning and training formats as part of a new ‘learning factory’ for human-centred design of AI-driven work. They are used in workshops to demonstrate the benefits of human-centred design of AI systems, primarily to decision-makers but also to employees. Through realistic simulations, participants experience the effects of different approaches and develop an awareness of the importance of a human-centred approach. The results from the learning scenarios help companies to optimise their own processes and integrate human-centred solutions in a targeted manner.
What is the time commitment involved for the company in raising this objection?
The time required for organisations depends on the specific learning scenario. For more extensive scenarios and workshops, such as the PSS Demonstrator/CENTAURIS, the time required is scalable, as participants have the opportunity to experience the same scenario again from different role perspectives. Overall, the time required for the HUMAINE learning scenarios ranges from a brief source of inspiration (duration: a few minutes), a typical 3-hour workshop (as a predictable standard) to formats lasting two to three days.
What added value does the tool bring to the company?
The ‘Learning Scenarios’ tool offers companies significant added value by using real-world examples to illustrate the benefits of a human-centred approach to designing AI systems. It facilitates sustainable knowledge transfer through active participation and, in a risk-free environment, highlights the consequences of a lack of human-centred design as well as the potential of AI-supported process optimisation. This accessible approach facilitates the integration of human-centred working methods into a company’s existing processes, thereby enhancing the acceptance and efficiency of AI solutions within the organisation.
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