What Is Ethical AI? – Design Guidelines and Principles in the Light of Different Regions, Countries, and Cultures

Abstract

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.