Many efforts to build an AI ethics program miss an important fact: ethics differ from one cultural context to the next. Ideas about right and wrong in one culture may not translate to a fundamentally different context, and even when there is alignment, there may well be important differences in the ethical reasoning at work — cultural norms, religious tradition, etc. — that need to be taken into account. Because AI and related data regulations are rarely uniform across geographies, compliance can be difficult. To address this problem, companies need to develop a contextual global AI ethics model that prioritizes collaboration with local teams and stakeholders and devolves decision-making authority to those local teams. This is particularly necessary if their operations span several geographies.
