AI ethics values fail to translate across global contexts, study finds

A new paper published on arXiv explores how universal ethical values in AI, such as fairness, transparency, and accountability, are reinterpreted and often fail to translate across different global contexts. Researchers found that experts in 10 countries adapted these values based on local moral logics, with privacy being viewed as collective rather than individual, transparency as trust-building rather than technical disclosure, and fairness as equitable access rather than outcome parity. The study suggests a need for plural governance that acknowledges ongoing, context-sensitive ethical negotiation. AI

IMPACT Highlights the need for context-sensitive AI governance, moving beyond universalist ethical frameworks.

RANK_REASON The cluster contains a research paper published on arXiv discussing AI ethics. [lever_c_demoted from research: ic=1 ai=1.0]

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• accountability
• alphaXiv
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• Hugging Face
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• privacy
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