Location
Hilton Waikoloa Village, Hawaii
Event Website
https://hicss.hawaii.edu/
Start Date
7-1-2025 12:00 AM
End Date
10-1-2025 12:00 AM
Description
Most existing design and development guidelines for Human-Centered AI primarily cater to a commercial context, they are not tailored to the specific needs of public services. This paper presents an Action Design Research study proposing public service-specific design principles for Human-Centered AI. The design principles are informed by multiple iterations of empirical research with citizens and public service employees acknowledging the multi-stakeholder nature of Human-Centered AI. The study recognizes an evolving understanding towards prioritizing human values and well-being in AI technologies. Furthermore, it considers the relationship between technology features in the public sector and citizens' needs to ensure that AI systems are developed with a commitment to fostering public trust and welfare. The study contributes to theory and practice by advancing the scholarly discourse on Human-Centered AI and informing AI strategies and implementations within the public sector.
Recommended Citation
Schmager, Stefan; Pappas, Ilias; and Vassilakopoulou, Polyxeni, "Human-Centered AI Design Principles for the Public Service Domain: An Action Design Research Study" (2025). Hawaii International Conference on System Sciences 2025 (HICSS-58). 8.
https://aisel.aisnet.org/hicss-58/os/ai_and_organizing/8
Human-Centered AI Design Principles for the Public Service Domain: An Action Design Research Study
Hilton Waikoloa Village, Hawaii
Most existing design and development guidelines for Human-Centered AI primarily cater to a commercial context, they are not tailored to the specific needs of public services. This paper presents an Action Design Research study proposing public service-specific design principles for Human-Centered AI. The design principles are informed by multiple iterations of empirical research with citizens and public service employees acknowledging the multi-stakeholder nature of Human-Centered AI. The study recognizes an evolving understanding towards prioritizing human values and well-being in AI technologies. Furthermore, it considers the relationship between technology features in the public sector and citizens' needs to ensure that AI systems are developed with a commitment to fostering public trust and welfare. The study contributes to theory and practice by advancing the scholarly discourse on Human-Centered AI and informing AI strategies and implementations within the public sector.
https://aisel.aisnet.org/hicss-58/os/ai_and_organizing/8