Location
Hilton Hawaiian Village, Honolulu, Hawaii
Event Website
https://hicss.hawaii.edu/
Start Date
3-1-2024 12:00 AM
End Date
6-1-2024 12:00 AM
Description
Artificial Intelligence (AI)'s impact on societies is positive and negative. Human well-being, self-actualization, human agency, and social cohesion come with challenges of overuse, underuse, and misuse of AI systems and social anxiety, ignorance, or erroneous data. An implementation of AI Ethics is expected to address these challenges. Literature includes general or specific guidelines for ethical AI, but country-, region-, and culture-specific categorizations are limited. We derive ethical AI key topics (KTs), design requirements (DRs), and design principles (DPs). We apply text mining and topic modeling analysis in a Design Science Research (DSR)-oriented approach. From 187 scientific publications, we deduce four KTs, 13 DRs, and 15 DPs. We identify four regions, countries, and cultures and apply cultural dimensions to assign a prioritization of the DPs. This ranking enables ethical AI realizations in different regions, countries, and cultures.
Recommended Citation
Lier, Sarah; Gerlach, Jana; and Breitner, Michael H., "What Is Ethical AI? – Design Guidelines and Principles in the Light of Different Regions, Countries, and Cultures" (2024). Hawaii International Conference on System Sciences 2024 (HICSS-57). 4.
https://aisel.aisnet.org/hicss-57/sj/digital-discrimination/4
What Is Ethical AI? – Design Guidelines and Principles in the Light of Different Regions, Countries, and Cultures
Hilton Hawaiian Village, Honolulu, Hawaii
Artificial Intelligence (AI)'s impact on societies is positive and negative. Human well-being, self-actualization, human agency, and social cohesion come with challenges of overuse, underuse, and misuse of AI systems and social anxiety, ignorance, or erroneous data. An implementation of AI Ethics is expected to address these challenges. Literature includes general or specific guidelines for ethical AI, but country-, region-, and culture-specific categorizations are limited. We derive ethical AI key topics (KTs), design requirements (DRs), and design principles (DPs). We apply text mining and topic modeling analysis in a Design Science Research (DSR)-oriented approach. From 187 scientific publications, we deduce four KTs, 13 DRs, and 15 DPs. We identify four regions, countries, and cultures and apply cultural dimensions to assign a prioritization of the DPs. This ranking enables ethical AI realizations in different regions, countries, and cultures.
https://aisel.aisnet.org/hicss-57/sj/digital-discrimination/4