Social sustainability of AI-related job displacement : Through the Human-Centered AI framework

Sammanfattning

Background: Artificial Intelligence is a novel technology that is rapidly becoming an important part of everyday life. With the increasing implementation across industries, there are fears of massive job displacements in the future. Because of this, it is crucial to examine these effects and how Artificial Intelligence can be designed to comply with social sustainability. Purpose: explore how social sustainability can be considered to mitigate negative outcomes related to individual perceptions of AI-related job displacement. Method: To conduct this study, we have applied the Delphi method which consists of surveys and panels done with 9 participants (5 experts and 4 students). The data collected was then analysed with the IPA method and classed into themes, and clusters of themes. This allowed us to obtain findings which formed the basis of the theoretical and practical conclusions and implications that this paper obtained. Conclusion: The research shows the potential benefits of designing Artificial Intelligence for social sustainability by adapting the model of Human-Centred AI to the context of AI-related job displacement.