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The exponential development and application of artificial intelligencetriggered an unprecedented global concern for potential social and ethicalissues. Stakeholders from different industries, international foundations,governmental organisations and standards institutions quickly improvised andcreated various codes of ethics attempting to regulate AI. A major concern isthe large homogeneity and presumed consensualism around these principles. Whileit is true that some ethical doctrines, such as the famous Kantian deontology,aspire to universalism, they are however not universal in practice. In fact,ethical pluralism is more about differences in which relevant questions to askrather than different answers to a common question. When people abide bydifferent moral doctrines, they tend to disagree on the very approach to anissue. Even when people from different cultures happen to agree on a set ofcommon principles, it does not necessarily mean that they share the sameunderstanding of these concepts and what they entail. In order to betterunderstand the philosophical roots and cultural context underlying ethicalprinciples in AI, we propose to analyse and compare the ethical principlesendorsed by the Chinese National New Generation Artificial IntelligenceGovernance Professional Committee (CNNGAIGPC) and those elaborated by theEuropean High-level Expert Group on AI (HLEGAI). China and the EU have verydifferent political systems and diverge in their cultural heritages. In ouranalysis, we wish to highlight that principles that seem similar a priori mayactually have different meanings, derived from different approaches and reflectdistinct goals.

Confucius, Cyberpunk and Mr. Science: Comparing AI ethics between China and the EU