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

By PulseAugur Editorial · [1 sources] ·

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]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

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

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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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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Ozioma C. Oguine, Munachimso B. Oguine, Cesar Cervera, Jenny Yang, Pooja Voladoddi, Mario Rodriguez, Saif Eddin Bani Malhem, Karla Badillo-Urquiola, Daricia Wilkinson ·

    Lost in Translation: How Universal Ethical Values Fail to Translate Across Global Contexts

    arXiv:2608.20490v1 Announce Type: new Abstract: AI ethics frameworks treat values such as fairness, transparency, and accountability as universal and uniformly operationalizable across contexts. We examined how 14 experts across 10 countries made sense of AI in practice, reinterp…

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