Researchers from around the world have found that universal ethical values in AI, such as fairness and transparency, are not always applicable globally. In a study of 14 experts across 10 countries, they discovered that local conditions, including infrastructure constraints and extractive practices, shape how these values are perceived. Experts often reinterpret these values to fit their local moral contexts, leading to 'translation gaps' between global frameworks and local practices. --- Why it matters: This matters because AI systems are increasingly being deployed globally, but current ethics frameworks may not be effective in diverse settings. Understanding how universal values translate across cultures can help engineers and policymakers develop more context-sensitive approaches to AI governance. Source: https://arxiv.org/abs/2608.20490