Tools by criteria for human-centeredness
To gain a better overview of the individual tools for the human-centred use of AI in work processes, it is worth considering the issue from different perspectives. What does ‘human-centredness’ actually mean in the context of AI in work processes? From an academic perspective, eight criteria for human-centredness can be defined. Select a criterion to see which components of the HUMAINE Toolbox contribute to it.
Transparent use and interpretation of data to improve acceptance of the technology and to provide users with useful information (e.g. remaining probabilities of error).
Job Change Acceptance Toolbox (JOCAT)
An unbiased data structure and ethical considerations regarding data collection and use, with the aim of operating AI in a reliable and ethically sound manner.
Employee dialogue
Establishment of systems and organisational procedures (e.g. process descriptions or checklists) to ensure reliability and promote accountability at the system level.
Job Change Acceptance Toolbox (JOCAT)
Learning scenarios for human-centred AI work
A deficit-oriented approach to compensating for human fatigue, unstable concentration or cognitive limitations in sensory discrimination.
Job Change Acceptance Toolbox (JOCAT)
Close integration of the user domain into software development.
Job Change Acceptance Toolbox (JOCAT)
Learning scenarios for human-centred AI work
Technology design aimed at improving user experience for staff, who gain a sense of empowerment and professional development through human-AI interaction.
Job Change Acceptance Toolbox (JOCAT)
Learning scenarios for human-centred AI work
Mapping user-centred interfaces
A role model for working with AI
Protecting employees from adverse factors such as heavy loads, chemical substances or stressful interactions.
Preventing the negative impact of new technologies on employment.
Job Change Acceptance Toolbox (JOCAT)
